In this video lecture, Prof. Anupam Basu lectures on Semantic Net.

1. Introduction to the Course
2. Linear Neural Networks
3. Multilayered Neural Networks
4. Back Propagation Algorithm Revisited
5. Non Linear System Analysis I
6. Non Linear System Analysis II
7. Radial Basis Function Networks
8. Adaptive Learning Rate
9. Weight Update Rules
10. Recurrent Networks Back Propagation Through Time
11. Recurrent Networks Real Time Recurrent Learning
12. Self Organizing Map - Multidimensional Networks
13. Fuzzy Sets A Primer
14. Fuzzy Relations
15. Fuzzy Rule Base and Approximate Reasoning
16. Introduction to Fuzzy Logic Control
17. Rule Based Systems II
18. Network Inversion and Control
19. Neural Control Review
20. Semantic Net
21. Network Inversion and Control
22. Reasoning in Semantic Net
23. Neural Model of a Robot Manipulator
24. Indirect Adaptive Control of a Robot Manipulator
25. Adaptive Neural Control for Affine Systems SISO
26. Adaptive Neural Control for Affine Systems MIMO
27. Visual Motor Coordination with KSOM
28. Visual Motor Coordination Using Quantum Clustering
29. Direct Adaptive Control of Manipulators: Introduction
30. NN Based Back Stepping Control
31. Fuzzy Control: A Review
32. Mamdani Type Flc and Parameter Optimization
33. Fuzzy Control of a pH Reactor
34. Fuzzy Lyapunov Controller: Computing with Words
35. Controller Design for a T-S Fuzzy Model
36. Linear Controllers Using T-S Fuzzy Model

In this course, Professor Laxmidhar Behera gives an introduction to the principal areas, problems, and concepts of Electrical Engineering, such as Intelligent Systems Control, Linear Neural networks, Neural Model of Robot manipulators, the Indirect Adaptive Control of a Robot manipulator, Controller Designs and the Fuzzy Control of a pH reactor.

The original name for this course is: Electrical - Intelligent Systems and Control. This course has 32 video lectures on Electrical Engineering, by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. (NPTEL)