Soft Computing Course Lecture Notes, Text books,
References
by R C Chakraborty, www.myreaders.info
These are my Lecture Notes for the course on Soft Computing, I offered to the students of B.Tech 7th semester in the year
2006-2013, 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.
|
1-6
|
1-61
|
02
|
Fundamentals of Neural Network :
Introduction,
Model of Artificial Neuron, Architectures, Learning Methods, Taxonomy of NN
Systems, Single-Layer NN System, Applications.
|
7-14
|
1-40
|
03
|
Back Propagation Network :
Background, Back-Propagation Learning, Back-Propagation Algorithm.
|
15-20
|
1-33
|
04
|
Associative Memory :
Description,
Auto-associative Memory, Bi-directional Hetero-associative Memory.
|
21-24
|
1-42
|
05
|
Adaptive Resonance Theory :
Recap
- supervised, unsupervised, backprop algorithms; Competitive Learning;
Stability-Plasticity Dilemma (SPD), ART Networks, Iterative Clustering,
Unsupervised ART Clustering.
|
25-28
|
1-60
|
06
|
Fuzzy Set Theory :
Introduction,
Fuzzy set : Membership, Operations, Properties; Fuzzy Relations.
|
29-34
|
1-42
|
07
|
Fuzzy Systems :
Introduction,
Fuzzy Logic, Fuzzification, Fuzzy Inference, Fuzzy Rule Based System, Defuzzification
|
35-36
|
1-30
|
08
|
Fundamentals of Genetic Algorithms :
Introduction,
Encoding, Operators of Genetic Algorithm, Basic Genetic Algorithm.
|
37-40
|
1-50
|
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.
|
41-42
|
1-41
|
