week
|
TITLE OF LECTURE
|
1
|
Soft Computing
Optimization Approach |
2
|
Fuzzy Logic
Fuzzy sets, numbers, operators and modifiers |
3
|
Fuzzy
Logic
Fuzzy Relations and Compositions |
4
|
Fuzzy Logic
Generalized Modus Ponens |
5
|
Fuzzy Logic
Mamdani, Sugeno, Tsukamoto Inference Algorithms
|
6
|
Fuzzy Logic
Case Examples |
7
|
Neural Networks
Models, Functionality, Classes |
8
|
Neural Networks
Perceptron Learning Rule |
9
|
Neural Networks
Linear Networks Widrow Hoff Delta Learning Rule |
10
|
Neural Networks
Multilayer Neural Networks and Backpropagation Training
|
11
|
Neural Networks
Case Examples |
12
|
Evolutionary Computation
Terminology and Classes |
13
|
Genetic Algorithms
Optimization |
14
|
Genetic Algorithms
Case Examples |