Learning Soft Computing
 Lecture Notes
Ref URL
: http://myreaders.info/html/soft_computing.htmlby R C Chakraborty.
These are my Lecture Notes for the course on Soft
Computing, I offered to the students of B.Tech 7th semester in the year 20062013,
at JUET, CSE Dept. where I was Visiting Professor.
For
the lecture notes move on to Website page URL : http://myreaders.info/html/soft_computing.html
Sec.

Content

Hrs

Page

01

Introduction to Soft Computing :
Introduction, Fuzzy Computing, Neural Computing,
Genetic Algorithms, Associative Memory, Adaptive Resonance Theory,
Applications.

16

161

02

Fundamentals of Neural Network :
Introduction,
Model of Artificial Neuron, Architectures, Learning Methods, Taxonomy of NN
Systems, SingleLayer NN System, Applications.

714

140

03

Back Propagation Network :
Background, BackPropagation Learning, BackPropagation Algorithm.

1520

133

04

Associative Memory :
Description,
Autoassociative Memory, Bidirectional Heteroassociative Memory.

2124

142

05

Adaptive Resonance Theory :
Recap
 supervised, unsupervised, backprop algorithms; Competitive Learning;
StabilityPlasticity Dilemma (SPD), ART Networks, Iterative Clustering,
Unsupervised ART Clustering.

2528

160

06

Fuzzy Set Theory :
Introduction,
Fuzzy set : Membership, Operations, Properties; Fuzzy Relations.

2934

142

07

Fuzzy Systems :
Introduction,
Fuzzy Logic, Fuzzification, Fuzzy Inference, Fuzzy Rule Based System, Defuzzification

3536

130

08

Fundamentals of Genetic Algorithms :
Introduction,
Encoding, Operators of Genetic Algorithm, Basic Genetic Algorithm.

3740

150

09

Hybrid Systems :
Integration
of Neural Networks, Fuzzy Logic and Genetic Algorithms, GA Based Back
Propagation Networks, Fuzzy Back Propagation Networks, Fuzzy Associative
Memories, Simplified Fuzzy ARTMAP.

4142

141
