Универзитет у Новом Саду Технички Факултет "Михајло Пупин" Зрењанин

Meko računarstvo


19
ОКТ
2016

Seminarski radovi 2016/2017

Seminarski rad je praktična izrada fazi logičkog kontrolera ili primena veštačke neuronske mreže. Rad se brani u toku časova praktične nastave. Specijalno, seminarski rad se može braniti na ispitu, izradom netipskog zadatka. 

25
НОВ
2015

Seminarski radovi 2015/2016

Seminarski rad je praktična izrada fazi logičkog kontrolera ili primena veštačke neuronske mreže. Rad se brani u toku časova praktične nastave. Specijalno, seminarski rad se može braniti na ispitu, izradom netipskog zadatka. 

25
НОВ
2015

Seminarski radovi 2014/2015

 

Teme seminarskih radova, 2014/2015

 

Fazi

  1. (ZAUZETO) Projektovanje fazi kontrolera mamdani tipa – konkretan primer
  2. Projektovanje fazi kontrolera sugeno tipa – konkretan primer
  3. T-norme, T-konorme i njihova implementacija
  4. Implementacija fazi funkcija pripadnosti
  5. Fazi implikacija – primer implementacije
  6. Modifikatori lingvističkih vrednosti – primer implementacije
  7. Okruženje za razvoj fazi inferentnih sistema FuzzyTech
  8. Implementacija adaptivnih fazi kontrolera
  9. Fazi klastering

Neuronske mreže

  1. Implementacija višeslojne neuronske mreže – konkretan primer
  2. Implementacija algoritma za obučavanje jednoslojne neuronske mreže
  3. Implementacija algoritma za obučavanje višeslojne neuronske mreže
  4. Primer upotrebe biblioteke za rad sa neuronskim mrežama u programskom jeziku Java
  5. Primer upotrebe biblioteke za rad sa neuronskim mrežama u programskom jeziku C#
  6. Rekurentne neuronske mreže – konkretna implementacija
  7. Linearna regresija – implementacija konkretnog primera
  8. Logistička regresija – implementacija konkretnog primera
  9. „Gradient Descent“ algotiram, uloga i implementacija
  10. „Cost Function“, uloga i načini implementacije
  11. Implementacija Vektor-mašina (SVM)

Genetski algoritmi

  1. (ZAUZETO) Genetski algoritam – programska implementacija
  2. Hibridni sistemi

Ostale tehnike

  1. Probabilističko računarstvo – algoritam i implementacija
  2. Hibridni neuro-fazi sistemi – konkretan primer
  3. Hibridni fazi-neuro sistemi – konkretan primer

 

 

05
ЈАН
2014

Seminarski radovi 2013/2014

 

MEKO RAČUNARSTVO

Teme seminarskih radova

05.01.2014.

 

FAZI SISTEMI (FS)

 

1-2FS (DVA KANDIDATA)

Primena mekog računarstva u industriji

Industrial Applications of Soft Computing

Yasuhiko Dote, Seppo J. Ovaska: Industrial Applications of Soft Computing: A Review, PROCEEDINGS OF THE IEEE, VOL. 89, NO. 9, SEPTEMBER 2001.

Kandidati: Šarvari Denis, Simić Miloš i Svirčev Predrag, 12.12.2013.

 

3-4FS (DVA KANDIDATA)

Sinteza tekstura pomoću mekog računarstva

Texture Synthesis using Soft-Computing

Javier Ruiz-del-Solar, Patricio Parada Dept. of Electrical Engineering Universidad de Chile

Mario Köppen, Dept. of Pattern Recognition, Fraunhofer-Institut IPK Berlin.

Kandidati:

 

5FS

Sistemi fazi odlučivanja – sistem za infektološko upozoravanje

Fuzzy Decision-Making Systems – Infectious Disease Warning System

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 161 – 165.

Kandidat: Cvetković Stefan, -

 

6FS

Sistemi fazi odlučivanja – sistem za upozoravanje otkaza u avionu

Fuzzy Decision-Making Systems – Failure Warning System for an Aircraft

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 166 – 168.

Kandidat: Mašić Filip, Kaloci Marko, 12.12.2013.

 

7FS

Fazi sistemi – problem aproksimacije funkcije

Fuzzy systems – The Function Approximation Problem

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 235 – 238.

Kandidat: Nikolić Gligorije, 12.12.2013.

 

8FS

Fazi sistemi – učenje iz primera

Fuzzy Systems – Learning from Examples

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 282 – 285.

Kandidat: Tepšić Goran, 19.12.2013.

 

9FS

Primena fazi sistema – razvoj konkretnog sistema u Fuzzy Logic Toolbox-u

Fuzzy Application – Fuzzy Logic Toolbox

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat: Ninčić Milena, -

 

10FS

Intervalna aritmetika

Interval Arithmetic (A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 9 – 12.

Kandidat:

 

11FS

O Intervalnoj aritmetici

Interval Arithmetic (B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 12 – 13.

Kandidat:

 

12FS

Adaptivna fazi kontrola

Adaptive Fuzzy Control (Intro, A, B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 239 – 243.

Kandidat:

 

13FS

Adaptivna fazi kontrola – mehanizam za podešavanje

Adaptive Fuzzy Control – Adjusting Mechanism (C,D)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 243 – 246.

Kandidat:

 

14FS

Primene fazi kontrolera – fazi dijagnostički sistem za nadgledanje zdravstevnog stanja

Fuzzy Control Applications – Health Monitoring Fuzzy Diagnostic System(Intro,A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 271 – 276.

Kandidat: Mandić Miloš, 19.12.2013.

 

15FS

Primene fazi kontrolera – računarska simulacija fazi dijagnostičkog sistema za nadgledanje zdravstevnog stanja

Fuzzy Control Applications – Health Monitoring Fuzzy Diagnostic System, Computer Symulations (B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 276 – 281.

Kandidat:

 

16-17FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola oštrine slike kod kamera sa autofokusom

Fuzzy Control Applications – Fuzzy Control of Image Sharpeness for Autofocus Cameras (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 281 – 290.

Kandidati: Stanović Danijela, Mihaljica Danijela, 19.12.2013.

 

18-19FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola servo mehaničkih sistema

Fuzzy Control Applications – Fuzzy Control for Servo Mechanic Systems (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 291 – 300.

Kandidati: Jovanov Čedomir, Kojić Nikola, 09.01.2014, od 12.15 časova

 

20-21FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola robotskog manipulatora

Fuzzy Control Applications – Fuzzy Controller for Robotic Manipulator (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 302 – 312.

Kandidati:

 

22FS

Adaptivni neuro-fazi inferentni sistemi, primer primene

Adaptive Neuro Fuzzy Inference Systems (ANFIS), applications

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat:

 

23-24FS (DVA KANDIDATA)

Primena fazi sistema – digitalna forenzika

Fuzzy Applications – Digital Forensic

Dustin Hurlbut: Fuzzy Hashing for Digital Forensic Investigators, AccessData, January 9, 2009.

Kandidati: Ždrale Igor, Baba-Alić Damir, 09.01.2014, od 12.15 časova

 

25-26FS (DVA KANDIDATA)

Primena fazi sistema u makroekonomiji

The Applications of the Fuzzy Sistems in Macroeconomy

Yurii Zaychenko, Alexey G. Kebkal, Valerii F. Krachkovckii: The Fuzzy Group Method of Data Handling and its Application to the Problems of the Macroeconomic Indexes Forecasting.

Kandidati: Balašev Nikola, 09.01.2014, od 12.15 časova

 

27FS

Fuzzy Logic Toolbox – primer primene

Fuzzy Logic Toolbox – An Application Example

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat: Eremić Miroslav, 16.01.2014, od 12.15 časova

 

28FS

Primene fazi kontrolera – primena u zdravstvu

Fuzzy Control Applications – Health Applications (Intro,A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 271 – 276.

Kandidat: Zečević Nikola, Todorović Dušan, 16.01.2014, od 12.15 časova

 

29-30FS (DVA KANDIDATA)

Projektovanje adaptivnih fazi kontrolera – sistem za održavanje odstojanja medju vozilima

The Design of the Adaptive Fuzzy Control for Inter-Vehicle Gap Keeping

José E. Naranjo, Carlos González, Jesús Reviejo, Ricardo García, and Teresa de Pedro: Adaptive Fuzzy Control for Inter-Vehicle Gap Keeping

Kandidat:

 

31-32FS (DVA KANDIDATA)

Fazi baze podataka

Fuzzy Databases

Tanja Sekulic, Norme komparatora u fazi relacionim bazama podataka, Tehnicki fakultet “Mihajlo Pupin” Zrenjanin, magistarski rad, 2005.

Kandidati: Stašević Miljan, Vukosavljević Ivica, 09.01.2014, od 12.15 časova

 

33-34FS (DVA KANDIDATA)

Poredjenje normi, H – norma

Fuzzy Norm Comparison, H – norm

Branka Nikolic: Komparacija normi u fazi zakljucivanju, Tehnicki fakultet “Mihajlo Pupin” Zrenjanin, magistarski rad, 2002.

Kandidati:

 

 

35-36FS (DVA KANDIDATA)

Adaptivni fazi kontroler za regulisanje brzine turbine

Fuzzy Controler – Turbine Speed Control

K. Gowrishankar, Vasanth Elancheralathan: ADAPTIVE FUZZY CONTROLLER TO CONTROL TURBINE SPEED, Rajiv Gandhi College Of Engg. & tech., Puducherry, India

Kandidati: Golijanin Miloš, 09.01.2014.

 

37FS

Fazi kontroler magnetnog sistema suspenzije

Fuzzy Controler – Magnetic Suspension System

Marjan Golob, Member, IEEE, and Boris Tovornik, Member, IEEE PID and Fuzzy Control of a Magnetic Suspension System

Kandidat:

 

38FS

Fazi kontroler za parkiranje vozila

Fuzzy Controler for Vehicle Reverse Parking

1. R. Holve, P. Protzel: Reverse Parking of a Model Car with Fuzzy Control, In: Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing - EUFIT ‘96, Aachen, Germany, Sept. 1996, pp. 2171-2175.

2. G.G.Rigatos, S.G.Tzafestas and G.J.Evangelidis: Reactive parking control of nonholonomic vehicles via a fuzzy learning automaton, IEE Proc.-Control Theory Appl., Vol. 148, No. 2, March 2001.

3. S.Bentalba, A. El Hajjaji and A. Rachid: Fuzzy Parking and Point Stabilization: Application Car Dynamics Model, Laboratoire des systemes automatiques, Universite de Picardie-Jules Verne 7, Rue du Moulin Neuf, 80000 Amiens, FRANCE.

Kandidat: Ugrčić Momčilo, 09.01.2014.

 

39-40FS (DVA KANDIDATA)

Fazi kontroler za upravljanje vozilom

Fuzzy Controler for Vehicle Navigation

Yanan Zhao and Emmanuel G. Collins: Robust Automatic Parallel Parking in Tight Spaces via Fuzzy Logic, Department of Mechanical Engineering Florida A&M University - Florida State University Tallahassee, FL.

Kandidati:

 

41-42FS (DVA KANDIDATA)

Fazi C Means klastering

Fuzzy C Means Clustering

J. C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algoritms, Plenum Press, New York, 1981.

Kandidati:

 

43FS

Primena fazi baza poadatka

Application of Fuzzy Databases

Kandidat: Mišković Slavica, 09.01.2014.

 

44FS

Fazi logička kontrola vetroenergetskih sistema

Kandidati: Vujičić Aleksandar, Gaborov Miroslav, 16.01.2014. od 12.15 časova

 

45FS
Automatizacija termovizijskog postupka korišćenjem fuzzy logike
Kandidat: Maljugić Nenad, 16.01.2014, od 12.15 časova


46FS
Fazi kontroler klima uredjaja
Kandidat: Konter Atila, 10.01.2014, od 12.15 časova


47FS
Fazi logički navigacioni sistem za mobilne robote
Fuzzy Logic Based Navigation System for a Mobile Robot
Kandidat: Novaković Borivoj, 10.01.2014, od 12.15 časova

 

NEURONSKE MREŽE (NN)

 

1NN

Rekurentne neuronske mreže Jordan i Elman tipa

Recurrent Networks (Jordan network and Elman network)

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 47 – 50.

Kandidat:

 

2NN

Rekurentne neuronske mreže – Hopfildova mreža

Recurrent Networks (Hopfield network)

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 50 – 52.

Kandidat: Adamov Radovan, 10.01.2014, od 12.15 časova

 

3NN

Rešavanje optimizacionih problema pomoću Hopfildove mreže

Hopfield networks for optimisation problems

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 53 – 54.

Kandidat:

 

4NN

Boltzmanove mašine

Boltzmann machines

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 54 – 55.

Kandidat: Valdebert Sili, 10.01.2014, od 12.15 časova

 

5-6NN (DVA KANDIDATA)

Adaptivna teorija rezonance – Art1: pojednostavljen model neuronske mreže

Adaptive resonance theory – ART1: The simplified neural network model

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 69 – 72.

Kandidati:

 

7-8NN (DVA KANDIDATA)

Adaptivna teorija rezonance – Art1: originalni model

Adaptive resonance theory – ART1: The original model

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 72 – 73.

Kandidati:

 

9-10NN (DVA KANDIDATA)

“Reinforcement” učenje

Reinforcement learning

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 75 – 81.

Kandidati: Gatarić Jelena, Žemba Marija, 09.01.2014.

 

11NN

Primena neuronskih mreža – mobilni roboti

Neural Networks Applications – Mobile Robots

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 94 – 96.

Kandidat: Jović Saša, 09.01.2014.

 

12NN

Primena neuronskih mreža – veštački vid

Neural Networks Applications – Vision

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 97 – 100.

Kandidat: Tasovac Nikola, Radin Siniša, 09.01.2014.

 

13-14NN (DVA KANDIDATA)

Primena neuronskih mreža – veštački vid, cognitron i neocognitron

Neural Networks Applications – Vision, cognitron and neocognitron

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 100 – 103.

Kandidati:

 

15NN

Primena neuronskih mreža – “Relaxation” tipovi mreža

Neural Networks Applications – Relaxation types of networks

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 103 – 105.

Kandidat:

 

16NN

Hardverske implementacije neuronskih mreža

Hardware Implementations of Neural Networks – General Purpose Hardware

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 111 – 114.

Kandidat:

 

17-18NN (DVA KANDIDATA)

Neuro hardver

Dedicated Neuro-Hardware

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 115 – 121.

Kandidati:

 

19NN

Primena neuronskih mreža – fitting alat

Application of Neural Network for Fiting Problems

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat:

 

20NN

Primena neuronskih mreža – clustering

Application of Neural Network for Clustering

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat:

 

21NN

Primena neuronskih mreža – prepoznavanje obrazaca (pattern recognition)

Application of Neural Network to Pattern Recognition

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat:

 

22-23NN (DVA KANDIDATA)

Primena neuronskih mreža u zdravstvu

Neural Networks Applications – Neural Networks in Healthcare

Margarita Sordo: Introduction to Neural Networks in Healthcare, Open Clinical, 2002.

Kandidati:

 

24-25NN (DVA KANDIDATA)

Primena neuronskih mreža u energetici

Neural Networks Applications – Neural Networks in Power Systems

M. Tarafdar Haque, and A.M. Kashtiban: Application of Neural Networks in Power Systems; A Review, World Academy of Science, Engineering and Technology 6, 2005.

Kandidati:

 

26-27NN (DVA KANDIDATA)

Primena neuronskih mreža u finansijama

Neural Networks Applications – Neural Networks in Finances

Martin P. Wallace: NEURAL NETWORKS AND THEIR APPLICATION TO FINANCE, Applied Technologies Centre London, UK, 2008.

Kandidati:

 

28-29NN (DVA KANDIDATA)

Primena neuronskih mreža – veštački vid

Neural Networks Applications – Artificial Vision

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 100 – 103.

Kandidati:

 

30-31NN (DVA KANDIDATA)

Primena neuronskih mreža u poljoprivredi

Neural Networks Applications in Agricultural Engineering

C.-C. YANG, S.O. PRASHER, J.-A. LANDRY, H.S. RAMASWAMY and A. DITOMMASO: Application of artificial neural networks in image recognition and classification of crop and weeds, CANADIAN AGRICULTURAL ENGINEERING Vol. 42, No. 3 July/August/September 2000.

Kandidati: Karanjac Nikola, 17.01.2014, od 12.15 časova

 

32-33NN (DVA KANDIDATA)

Neuronske mreže za prepoznavanje ćiriličnih slova

Neural Networks – Character Recognition

Velibor Ilić: Obučavanje neuronskih mreža za prepoznavanje ćiriličnih slova, Tehnički fakultet “Mihajlo Pupin”, Zrenjanin, magistarski rad, 2002.

Kandidati:

 

34-35NN (DVA KANDIDATA)

Kompresija slika pomoću neuronskih mreža

Neural Networks Application – Data Compression

Dubravka Ilić: Kompresija slika korišćenjem neuronskih mreža, Tehnički fakultet “Mihajlo Pupin”, Zrenjanin, magistarski rad, 2003.

Kandidati: Zadrin Nina, 17.01.2014, od 12.15 časova

 

36NN

Višeslojni perceptron

Multi-Layer Perceptron (MLP)

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 93 – 96.

Kandidat:

 

37NN

Regresione i Feedback neuronske mreže

Generalize Regression Neural Network (GRNN) and Self-Feedback Neural Network (SFNN)

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 96 – 98.

Kandidat:

 

38NN

Asocijativne memorije

Associative memory

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 98 – 101.

Kandidat: Bugarić Aleksandar, 17.01.2014, od 12.15 časova.

 

39-40NN (DVA KANDIDATA)

“Reinforcement” učenje – primeri primene

Reinforcement learning – applications

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 75 – 81.

Kandidati:

 

41-42NN (DVA KANDIDATA)

Primena neuronskih mreža u elektro energetskim sistemima

Neural Networks Applications in Elecrical and Energetic Systems

M. Tarafdar Haque, and A.M. Kashtiban: Application of Neural Networks in Power Systems; A Review, World Academy of Science, Engineering and Technology 6, 2005.

Kandidati: Bundalo Zoran, Kosanović Vukašin, 09.01.2014. od 12.15 časova

 

43NN

Veštačke neuronske mreže i odziv fotosenzitivne ganglijske ćelije

Artificial Neural Networks and Retinal Ganglion Cell Responses

María P. Bonomini, José M. Ferrández and Eduardo Fernández: Artificial Neural Networks and Retinal Ganglion Cell Responses, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 233 – 236.

Kandidat:

 

44NN

Veštačke neuronske mreže – primena u dijagnozi kožnih oboljenja

Artificial Neural Networks Applied to Skin Diseases Diagnostics

Bakpo, F. S. and Kabari, L. G: Diagnosing Skin Diseases Using an Artificial Neural Network, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 262 – 270.

Kandidat:

 

45NN

Veštačke neuronske mreže i ekspertni sistemi

Artificial Neural Networks and Expert Systems

Jaroslav E. Poliščuk: Ekspertni sistemi, Elektrotehnički fakultet, Podgorica 2004, str. 168 – 176.

Kandidat:

 

46NN

Fazi neuron

Fuzzy Neuron

Retter Gyula, Kombinált fuzzy, neurális és genetikus módszerek,NVEST-MARKETING Bt., 2007.
Kandidat:

 

47NN

Neuronske mreže u računarskim igrama

Kandidat: Jankov Saša, 17.01.2014, od 12.15 časova

 

48NN

Softver za generisanje i obučavanje NM

Kandidat: Ćirić Ognjen, 17.01.2014, od 12.15 časova

 

49NN

Kontekstualna klasifikacija dokumenata

Kandidat:

 

50NN

Swarm Intelligence

Kandidat: Nadlački Dejan, 23.01.2014.

 

51NN

Prepoznavanje govora pomoću neuronski mreža

Kandidat: Vidović Vojka, 23.01.2014.

 

52NN

Primena neuronskih mreža za analizu mamografskih snimaka

Kandidat:

 

53NN
Neuroph Framework
Kandidat: Nemanja Bilinac, 09.01.2014.


54NN
Bajesovske neuronske mreže
Kandidat: Kostić Filip, 09.01.2014.

 

 

GENETCKI ALGORITMI (GA)

 

1GA

Elementi genetskih algoritama

Elements of Genetic Algorithms

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 7 – 12.

Kandidat: Krstić Ljubanović Dragana, 09.01.2014. od 12.15 časova

 

2-3GA (DVA KANDIDATA)

Genetski algoritmi – jednostavni primeri primene

Genetic Algorithms – simple examples

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 12 – 20.

Kandidati:

 

4GA

Funkcionisanje genetskih algoritama

How do Genetic Algorithms Work

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 21 – 23.

Kandidat:

 

5-6GA (DVA KANDIDATA)

Genetski algoritmi i rešavanje problema

Genetic Algorithms in Problem Solving

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 27 – 33.

Kandidati:

 

7-8GA (DVA KANDIDATA)

Genetski algoritmi

Genetic Algorithms

Tom V. Mathew: Genetic Algorithm,Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai-400076.

Kandidati: Antić Miloš, 17.01.2014, od 12.15 časova

 

9-10GA (DVA KANDIDATA)

Primena genetskih algoritama – selekcija osobina

Feauter Selection by Genetic Algorithms

M. Soryani, and N. Rafat: Application of Genetic Algorithms to Feature Subset Selection in a Farsi OCR, World Academy of Science, Engineering and Technology 18, 2006.

Kandidati:

 

11-12GA (DVA KANDIDATA)

Primena genetskih algoritama – obrada fotografija

Image Selection by Genetic Algorithms

Mantas Paulinas, Andrius Ušinskas: A SURVEY OF GENETIC ALGORITHMS APPLICATIONS FOR IMAGE ENHANCEMENT AND SEGMENTATION, ISSN 1392 – 124X INFORMATION TECHNOLOGY AND CONTROL, 2007, Vol.36, No.3.

Kandidati:

 

13GA

Genetskih algoritmi modelovanje

Genetic Algorithms and Modeling

S. Rajasekaran and G.A. Vijayalaksmi Pai: Neural Network, Fuzzy Logic, and Genetic Algorithms - Synthesis and Applications, Prentice Hall, 2005, Chapter 8-9, pp. 225-293.

Kandidat:

 

 

ROUGH SETS (RS)

 

1RS

Osnove teorije grubih skupova
Kandidat:


2RS

Primene teorije grubih skupova
Kandidat: Knežević Maja, 23.01.2014.

24
МАЈ
2013

Seminarski radovi 2012/2013

 

MEKO RAČUNARSTVO

Teme seminarskih radova

24.05.2013.

 

FAZI SISTEMI (FS)

 

1-2FS (DVA KANDIDATA)

Primena mekog računarstva u industriji

Industrial Applications of Soft Computing

Yasuhiko Dote, Seppo J. Ovaska: Industrial Applications of Soft Computing: A Review, PROCEEDINGS OF THE IEEE, VOL. 89, NO. 9, SEPTEMBER 2001.

Kandidati: Nikolić Branislava, Stevanović Bojan, 29.11.2012.

 

3-4FS (DVA KANDIDATA)

Sinteza tekstura pomoću mekog računarstva

Texture Synthesis using Soft-Computing

Javier Ruiz-del-Solar, Patricio Parada Dept. of Electrical Engineering Universidad de Chile

Mario Köppen, Dept. of Pattern Recognition, Fraunhofer-Institut IPK Berlin.

Kandidati: Pejić Dragan, -

 

5FS

Sistemi fazi odlučivanja – sistem za infektološko upozoravanje

Fuzzy Decision-Making Systems – Infectious Disease Warning System

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 161 – 165.

Kandidat: Biorac Lazar, 06.12.2012.

 

6FS

Sistemi fazi odlučivanja – sistem za upozoravanje otkaza u avionu

Fuzzy Decision-Making Systems – Failure Warning System for an Aircraft

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 166 – 168.

Kandidat: Engel Robert, 06.12.2012.

 

7FS

Fazi sistemi – problem aproksimacije funkcije

Fuzzy systems – The Function Approximation Problem

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 235 – 238.

Kandidat: Srećković Milan, -

 

8FS

Fazi sistemi – učenje iz primera

Fuzzy Systems – Learning from Examples

Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison Wesley Longman, 1998, pp. 282 – 285.

Kandidat: Žižik Igor, 13.12.2012.

 

9FS

Primena fazi sistema – razvoj konkretnog sistema u Fuzzy Logic Toolbox-u

Fuzzy Application – Fuzzy Logic Toolbox

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat: Stoisavljević Đorđe, 10.01.2013.

 

10FS

Intervalna aritmetika

Interval Arithmetic (A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 9 – 12.

Kandidat: Čordašić Ilija, 13.12.2012.

 

11FS

O Intervalnoj aritmetici

Interval Arithmetic (B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 12 – 13.

Kandidat: Meheš Robert,-

 

12FS

Adaptivna fazi kontrola

Adaptive Fuzzy Control (Intro, A, B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 239 – 243.

Kandidat: Stajić Mihić Marijana, -

 

13FS

Adaptivna fazi kontrola – mehanizam za podešavanje

Adaptive Fuzzy Control – Adjusting Mechanism (C,D)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 243 – 246.

Kandidat: Marković Dragana, -

 

14FS

Primene fazi kontrolera – fazi dijagnostički sistem za nadgledanje zdravstevnog stanja

Fuzzy Control Applications – Health Monitoring Fuzzy Diagnostic System(Intro,A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 271 – 276.

Kandidat: Filipović Ivan, -

 

15FS

Primene fazi kontrolera – računarska simulacija fazi dijagnostičkog sistema za nadgledanje zdravstevnog stanja

Fuzzy Control Applications – Health Monitoring Fuzzy Diagnostic System, Computer Symulations (B)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 276 – 281.

Kandidat:

 

16-17FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola oštrine slike kod kamera sa autofokusom

Fuzzy Control Applications – Fuzzy Control of Image Sharpeness for Autofocus Cameras (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 281 – 290.

Kandidati: Petrov Nikola, Popović Ivana, 20.12.2012.

 

18-19FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola servo mehaničkih sistema

Fuzzy Control Applications – Fuzzy Control for Servo Mechanic Systems (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 291 – 300.

Kandidati: Bojan Vujanov, Grgurović Aleksandar, 20.12.2012.

Ljubobratović Nemanja, Vasiljević Marko,-

 

20-21FS (DVA KANDIDATA)

Primene fazi kontrolera – fazi kontrola robotskog manipulatora

Fuzzy Control Applications – Fuzzy Controller for Robotic Manipulator (Intro,A,B,C)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 302 – 312.

Kandidati: Mešter Elvira, Rodić Jovana, 13.12.2012.

 

22FS

Adaptivni neuro-fazi inferentni sistemi, primer primene

Adaptive Neuro Fuzzy Inference Systems (ANFIS), applications

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat: Previšić Mihajlo, -

 

23-24FS (DVA KANDIDATA)

Primena fazi sistema – digitalna forenzika

Fuzzy Applications – Digital Forensic

Dustin Hurlbut: Fuzzy Hashing for Digital Forensic Investigators, AccessData, January 9, 2009.

Kandidati: Kiselički Aleksandar, 20.12.2012.

 

25-26FS (DVA KANDIDATA)

Primena fazi sistema u makroekonomiji

The Applications of the Fuzzy Sistems in Macroeconomy

Yurii Zaychenko, Alexey G. Kebkal, Valerii F. Krachkovckii: The Fuzzy Group Method of Data Handling and its Application to the Problems of the Macroeconomic Indexes Forecasting.

Kandidati: Jovanović Sanja, Zečar Mladen, 27.12.2012,

 

27FS

Fuzzy Logic Toolbox – primer primene

Fuzzy Logic Toolbox – An Application Example

Mathworks, MatLab, Fuzzy Logic Toolbox.

Kandidat: Siveri Stevica, 27.12.2012.

 

28FS

Primene fazi kontrolera – primena u zdravstvu

Fuzzy Control Applications – Health Applications (Intro,A)

Guanrong Chen, Trung Tat Pham: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, CRC Press, 2001, pp. 271 – 276.

Kandidat:

 

29-30FS (DVA KANDIDATA)

Projektovanje adaptivnih fazi kontrolera – sistem za održavanje odstojanja među vizilima

The Design of theAdaptive Fuzzy Control for Inter-Vehicle Gap Keeping

José E. Naranjo, Carlos González, Jesús Reviejo, Ricardo García, and Teresa de Pedro: Adaptive Fuzzy Control for Inter-Vehicle Gap Keeping

Kandidat: Ivanović Dejan, Janković Saša, -

 

31-32FS (DVA KANDIDATA)

Fazi baze podataka

Fuzzy Databases

Tanja Sekulić, Norme komparatora u fazi relacionim bazama podataka, Tehnički fakultet “Mihajlo Pupin” Zrenjanin, magistarski rad, 2005.

Kandidati: Rusovan Jasmina+Vaštag Atila, 06.12.2012. +Ilić Saša, Probojčević Zlatko

 

33-34FS (DVA KANDIDATA)

Poređenje normi, H – norma

Fuzzy Norm Comparison, H – norm

Branka Nikolić: Komparacija normi u fazi zaključivanju, Tehnički fakultet “Mihajlo Pupin” Zrenjanin, magistarski rad, 2002.

Kandidati: Dino Turalić, Denis Turalić, -

 

 

35-36FS (DVA KANDIDATA)

Adaptivni fazi kontroler za regulisanje brzine turbine

Fuzzy Controler – Turbine Speed Control

K. Gowrishankar, Vasanth Elancheralathan: ADAPTIVE FUZZY CONTROLLER TO CONTROL TURBINE SPEED, Rajiv Gandhi College Of Engg. & tech., Puducherry, India

Kandidati: Cukić Darko, -

 

37FS

Fazi kontroler magnetnog sistema suspenzije

Fuzzy Controler – Magnetic Suspension System

Marjan Golob, Member, IEEE, and Boris Tovornik, Member, IEEE PID and Fuzzy Control of a Magnetic Suspension System

Kandidat:

 

38FS

Fazi kontroler za parkiranje vozila

Fuzzy Controler for Vehicle Reverse Parking

1. R. Holve, P. Protzel: Reverse Parking of a Model Car with Fuzzy Control, In: Proceedings of the 4th European Congress on Intelligent Techniques and Soft Computing - EUFIT ‘96, Aachen, Germany, Sept. 1996, pp. 2171-2175.

2. G.G.Rigatos, S.G.Tzafestas and G.J.Evangelidis: Reactive parking control of nonholonomic vehicles via a fuzzy learning automaton, IEE Proc.-Control Theory Appl., Vol. 148, No. 2, March 2001.

3. S.Bentalba, A. El Hajjaji and A. Rachid: Fuzzy Parking and Point Stabilization: Application Car Dynamics Model, Laboratoire des systemes automatiques, Universite de Picardie-Jules Verne 7, Rue du Moulin Neuf, 80000 Amiens, FRANCE.

Kandidat: Zoretić Damir, 27.12.2012.

 

39-40FS (DVA KANDIDATA)

Fazi kontroler za upravljanje vozilom

Fuzzy Controler for Vehicle Navigation

Yanan Zhao and Emmanuel G. Collins: Robust Automatic Parallel Parking in Tight Spaces via Fuzzy Logic, Department of Mechanical Engineering Florida A&M University - Florida State University Tallahassee, FL.

Kandidati: Mišković Marko, Knežević Radovan, 27.12.2012.

 

41-42FS (DVA KANDIDATA)

Fazi C Means klastering

Fuzzy C Means Clustering

J. C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algoritms, Plenum Press, New York, 1981.

Kandidati: Borovnica Tanja, Milojević Mladen,-

 

43FS

Primena fazi baza poadatka

Application of Fuzzy Databases

Kandidati: Pantoš Rada, 10.01.2013.

 

44FS

Fazi logička kontrola vetroenergetskih sistema

Kandidati: Krstić Bojan, -

 

 

NEURONSKE MREŽE (NN)

 

1NN

Rekurentne neuronske mreže Jordan i Elman tipa

Recurrent Networks (Jordan network and Elman network)

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 47 – 50.

Kandidat:

 

2NN

Rekurentne neuronske mreže – Hopfildova mreža

Recurrent Networks (Hopfield network)

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 50 – 52.

Kandidat: Đurić Nikola, 10.01.2013.

 

3NN

Rešavanje optimizacionih problema pomoću Hopfildove mreže

Hopfield networks for optimisation problems

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 53 – 54.

Kandidat: Kopas Žolt,-

 

4NN

Boltzmanove mašine

Boltzmann machines

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 54 – 55.

Kandidat: Čikarić Miloš, -

 

5-6NN (DVA KANDIDATA)

Adaptivna teorija rezonance – Art1: pojednostavljen model neuronske mreže

Adaptive resonance theory – ART1: The simplified neural network model

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 69 – 72.

Kandidati:

 

7-8NN (DVA KANDIDATA)

Adaptivna teorija rezonance – Art1: originalni model

Adaptive resonance theory – ART1: The original model

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 72 – 73.

Kandidati:

 

9-10NN (DVA KANDIDATA)

“Reinforcement” učenje

Reinforcement learning

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 75 – 81.

Kandidati: Dionisiev Darko, -

 

11NN

Primena neuronskih mreža – mobilni roboti

Neural Networks Applications – Mobile Robots

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 94 – 96.

Kandidat: Čamagić Maja, 17.01.2013.

 

12NN

Primena neuronskih mreža – veštački vid

Neural Networks Applications – Vision

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 97 – 100.

Kandidat: Spasić Stefan, 17.01.2013.

 

13-14NN (DVA KANDIDATA)

Primena neuronskih mreža – veštački vid, cognitron i neocognitron

Neural Networks Applications – Vision, cognitron and neocognitron

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 100 – 103.

Kandidati:

 

15NN

Primena neuronskih mreža – “Relaxation” tipovi mreža

Neural Networks Applications – Relaxation types of networks

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 103 – 105.

Kandidat:

 

16NN

Hardverske implementacije neuronskih mreža

Hardware Implementations of Neural Networks – General Purpose Hardware

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 111 – 114.

Kandidat: Pavlović Tijana, -

 

17-18NN (DVA KANDIDATA)

Neuro hardver

Dedicated Neuro-Hardware

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 115 – 121.

Kandidati: Đaković Violeta. 17.01.2013.

 

19NN

Primena neuronskih mreža – fitting alat

Application of Neural Network for Fiting Problems

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat:

 

20NN

Primena neuronskih mreža – clustering

Application of Neural Network for Clustering

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat:

 

21NN

Primena neuronskih mreža – prepoznavanje obrazaca (pattern recognition)

Application of Neural Network to Pattern Recognition

Mathworks, MatLab, Neural Networks Toolbox.

Kandidat: Petrović Vladimir, -

 

22-23NN (DVA KANDIDATA)

Primena neuronskih mreža u zdravstvu

Neural Networks Applications – Neural Networks in Healthcare

Margarita Sordo: Introduction to Neural Networks in Healthcare, Open Clinical, 2002.

Kandidati: Bešlić Đurica,-

 

24-25NN (DVA KANDIDATA)

Primena neuronskih mreža u energetici

Neural Networks Applications – Neural Networks in Power Systems

M. Tarafdar Haque, and A.M. Kashtiban: Application of Neural Networks in Power Systems; A Review, World Academy of Science, Engineering and Technology 6, 2005.

Kandidati:

 

26-27NN (DVA KANDIDATA)

Primena neuronskih mreža u finansijama

Neural Networks Applications – Neural Networks in Finances

Martin P. Wallace: NEURAL NETWORKS AND THEIR APPLICATION TO FINANCE, Applied Technologies Centre London, UK, 2008.

Kandidati:

 

28-29NN (DVA KANDIDATA)

Primena neuronskih mreža – veštački vid

Neural Networks Applications – Artificial Vision

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 100 – 103.

Kandidati:

 

30-31NN (DVA KANDIDATA)

Primena neuronskih mreža u poljoprivredi

Neural Networks Applications in Agricultural Engineering

C.-C. YANG, S.O. PRASHER, J.-A. LANDRY, H.S. RAMASWAMY and A. DITOMMASO: Application of artificial neural networks in image recognition and classification of crop and weeds, CANADIAN AGRICULTURAL ENGINEERING Vol. 42, No. 3 July/August/September 2000.

Kandidati: Licko Stevan, Stajić Filip, -

 

32-33NN (DVA KANDIDATA)

Neuronske mreže za prepoznavanje ćiriličnih slova

Neural Networks – Character Recognition

Velibor Ilić: Obučavanje neuronskih mreža za prepoznavanje ćiriličnih slova, Tehnički fakultet “Mihajlo Pupin”, Zrenjanin, magistarski rad, 2002.

Kandidati: Šešlija Miodrag + Tomić Miroslav, Beljin Ljubomir, 21.01.2013.

 

34-35NN (DVA KANDIDATA)

Kompresija slika pomoću neuronskih mreža

Neural Networks Application – Data Compression

Dubravka Ilić: Kompresija slika korišćenjem neuronskih mreža, Tehnički fakultet “Mihajlo Pupin”, Zrenjanin, magistarski rad, 2003.

Kandidati: Mašić Aleksandar, Dragan Nikola, 21.01.2013.

 

36NN

Višeslojni perceptron

Multi-Layer Perceptron (MLP)

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 93 – 96.

Kandidat: Milošević Miroslav, 21.01.2013.

 

37NN

Regresione i Feedback neuronske mreže

Generalize Regression Neural Network (GRNN) and Self-Feedback Neural Network (SFNN)

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 96 – 98.

Kandidat:

 

38NN

Asocijativne memorije

Associative memory

Mahmood Amiri and Katayoun Derakhshandeh: Applied Artificial Neural Networks:from Associative Memories to Biomedical Applications, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 98 – 101.

Kandidat: Alavanja Đorđe, 21.01.2013.

 

39-40NN (DVA KANDIDATA)

“Reinforcement” učenje – primeri primene

Reinforcement learning – applications

Ben Kröse, Patrick van der Smagt: An Introduction to Neural Networks, 8th Edition, The University of Amsterdam, 1996, pp. 75 – 81.

Kandidati: Sretenović Dejan, -

 

41-42NN (DVA KANDIDATA)

Primena neuronskih mreža u elektro energetskim systemima

Neural Networks Applications in Elecrical and Energetic Systems

M. Tarafdar Haque, and A.M. Kashtiban: Application of Neural Networks in Power Systems; A Review, World Academy of Science, Engineering and Technology 6, 2005.

Kandidati: Jović Marko, Marinović Miroslav, -

 

43NN

Veštačke neuronske mreže i odziv fotosenzitivne ganglijske ćelije

Artificial Neural Networks and Retinal Ganglion Cell Responses

María P. Bonomini, José M. Ferrández and Eduardo Fernández: Artificial Neural Networks and Retinal Ganglion Cell Responses, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 233 – 236.

Kandidati:

 

44NN

Veštačke neuronske mreže – primena u dijagnozi kožnih oboljenja

Artificial Neural Networks Applied to Skin Diseases Diagnostics

Bakpo, F. S. and Kabari, L. G: Diagnosing Skin Diseases Using an Artificial Neural Network, In: Artificial Neural Networks - Methodological Advances and Biomedical Applications, Edited by Kenji Suzuki, InTech, 2011, pp. 262 – 270.

Kandidati: Vorkapić Dalibor, -

 

45NN

Veštačke neuronske mreže i ekspertni sistemi

Artificial Neural Networks and Expert Systems

Jaroslav E. Poliščuk: Ekspertni sistemi, Elektrotehnički fakultet, Podgorica 2004, str. 168 – 176.

Kandidati: Ivošević Aleksandar, 21.01.2013.

 

46NN

Fazi neuron

Fuzzy Neuron

Retter Gyula, Kombinált fuzzy, neurális és genetikus módszerek,NVEST-MARKETING Bt., 2007. Kandidati:

 

47NN

Neuronske mreže u računarskim igrama

Kandidati: Blanuša Dragan, 27.12.2012.

 

48NN

Softver za generisanje i obučavanje NM

Kandidati: Pavlović Jasmin, 27.12.2012.

 

49NN

Kontekstualna klasifikacija dokumenata

Kandidati: Milović Rade, 17.01.2013.

 

50NN

Swarm Intelligence

Kandidati: Mirković Nenad, 21.01.2013.

 

51NN

Prepoznavanje govora pomoću neuronski mreža

Kandidati: Tomin Dragana, 21.01.2013.

 

52NN

Primena neuronskih mreža za analizu mamografskih snimaka

Kandidati: Kardoš Atila, -

 

 

 

GENETCKI ALGORITMI (GA)

 

1GA

Elementi genetskih algoritama

Elements of Genetic Algorithms

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 7 – 12.

Kandidat: Jevremov Aleksandar, 21.01.2013.?

 

2-3GA (DVA KANDIDATA)

Genetski algoritmi – jednostavni primeri primene

Genetic Algorithms – simple examples

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 12 – 20.

Kandidati:

 

4GA

Funkcionisanje genetskih algoritama

How do Genetic Algorithms Work

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 21 – 23.

Kandidat: Uglješin Spasoje, 21.01.2013.

 

5-6GA (DVA KANDIDATA)

Genetski algoritmi i rešavanje problema

Genetic Algorithms in Problem Solving

Melanie Mitchell: An Introduction to Genetic Algorithms, A Bradford Book The MIT Press, 1999, pp. 27 – 33.

Kandidati: Filipović M. Ivan,Zorić Marko, -

 

7-8GA (DVA KANDIDATA)

Genetski algoritmi

Genetic Algorithms

Tom V. Mathew: Genetic Algorithm,Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai-400076.

Kandidati: Borisavljević Dijana, Kovačević Jelena, 21.01.2013.

 

9-10GA (DVA KANDIDATA)

Primena genetskih algoritama – selekcija osobina

Feauter Selection by Genetic Algorithms

M. Soryani, and N. Rafat: Application of Genetic Algorithms to Feature Subset Selection in a Farsi OCR, World Academy of Science, Engineering and Technology 18, 2006.

Kandidati: Simin Slađan, 21.01.2013.

 

11-12GA (DVA KANDIDATA)

Primena genetskih algoritama – obrada fotografija

Image Selection by Genetic Algorithms

Mantas Paulinas, Andrius Ušinskas:  A SURVEY OF GENETIC ALGORITHMS APPLICATIONS FOR IMAGE ENHANCEMENT AND SEGMENTATION, ISSN 1392 – 124X INFORMATION TECHNOLOGY AND CONTROL, 2007, Vol.36, No.3.

Kandidati: Simić Goran, Jovičin Tomislav, 21.01.2013.

 

13GA

Genetskih algoritmi modelovanje

Genetic Algorithms and Modeling

S. Rajasekaran and G.A. Vijayalaksmi Pai: Neural Network, Fuzzy Logic, and Genetic Algorithms - Synthesis and Applications, Prentice Hall, 2005, Chapter 8-9, pp. 225-293.

Kandidat:

 

 

ROUGH SETS (RS)

 

1RS

Osnove teorije grubih skupova

Kandidat: Nožinić Dalibor, -