|
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 |