Neural Nets and Neurocoumputers

Lecturer:

Tutor:

Supervisor:

Department of Computer Science and Engineering

Synopsis:

Mainly the basic neural paradigms are studied (perceptron and perceptron-like artificial neural nets, Hopfield net, Kohonen and ART selforganizing nets, Neocognitron, GMDH, etc.). Their applications in different tasks are pointed out. Fundamental ideas of HW accelerator design are mentioned. Applications like data prediction, image and sound neural processing, data compression, principal and independent component analysis are described.

Requirements:

Syllabus of lectures:

1. Artificial neural nets introduction

2. Hopfield net

3. Perceptron-like neural nets

4. Back-propagation nets, the principle of error back propagation

5. Self-organizing nets - Kohonen

6. Self-organizing nets - ART

7. GMDH nets

8. Neocognitron

9. Image processing by artificial neural nets

10. Data prediction

11. Data mining

12. Neural net accelerators

13. Boltzman machine

14. Fuzzy neural nets

Syllabus of tutorials:

1. Examples of artificial neural net application

2. Simulation tools

3. 1st laboratory task analysis

4. Consultations

5.

6. Result presentation

7. 2nd laboratory task analysis

8. Consultations

9.

10.

11.

12.

13. Result presentation

14. Evaluation

Study Objective:

Study materials:

1. Will be recommended by the lecturer

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Computer Technology - Software Engineering- structured studies (compulsory elective course)
• Economics and Management of Power Engineering- structured studies (compulsory elective course)
• Electronics - Electronic Applications- structured studies (compulsory elective course)
• Computer Technology - System Programming- structured studies (compulsory elective course)
• Computer Technology - Computer Graphics- structured studies (compulsory elective course)
• Computer Technology - Computer Network and Internet- structured studies (compulsory elective course)
• Computer Technology - Designing Digital Systems- structured studies (compulsory elective course)