Introduction to NNFL
Neural Network and Fuzzy Logic
6 Modules
Introduction
10 Lessons
Introduction to NNFL
McCulloch Pits algorithm
Activation Functions
Neural Network Architecture
Knowledge Representation
Linear and Non-linear Separability
Learning processes
Hebbian Learning Rule
Perceptron learning rule
Delta learning rule
Supervised Learning Network
5 Lessons
Perceptron convergence theorem
Adaline network
Madaline network
Back Propagation
Radial Basis Function
Unsupervised Learning Network
1 Lesson
Kohonen self organizing maps
Associative Memory Networks
4 Lessons
Auto associative memory
Hetero associative memory
Bi-Directional Autoassociative Memory
Hopfield Network
Fuzzy Logic
5 Lessons
Fuzzy set
Fuzzy Relation
Fuzzy Operations
Fuzzification and Defuzzification
Fuzzy logic controller
Case studies on ANN
2 Lessons
Introduction to ANN
Learning paradigms
Important Notes
9 Lessons