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RC Chakraborty, www.myreaders.info
Soft Computing : Course Content , Lecture hours – 42 , notes, slides : 398 www.myreaders.info/ , RC Chakraborty, e-mail [email protected] , Aug. 10 , 2010 http://www.myreaders.info/html/soft_computing.html
Course Content
Soft Computing
Soft Computing topics : Introduction to soft computing, Fundamentals of neural network, Back propagation network, Associative memory, Adaptive resonance theory, Fuzzy set theory, Fuzzy systems, Genetic algorithms & modeling, and Hybrid systems.
www.myreaders.info
RC Chakraborty, www.myreaders.info
Course Content
Soft Computing
Content Hrs (^01) Introduction to Soft Computing : Introduction, Fuzzy Computing, Neural Computing, Genetic Algorithms, Associative Memory, Adaptive Resonance Theory, Applications.
1-
02 Fundamentals of Neural Network : Introduction, Model of Artificial Neuron, Architectures, Learning Methods, Taxonomy of NN Systems, Single-Layer NN System, Applications.
7-
03 Back Propagation Network : Background, Back-Propagation Learning, Back-Propagation Algorithm.
15-
04 Associative Memory : Description, Auto-associative Memory, Bi-directional Hetero-associative Memory.
21-
(^05) Adaptive Resonance Theory : Recap - supervised, unsupervised, backprop algorithms; Competitive Learning; Stability-Plasticity Dilemma (SPD), ART Networks, Iterative Clustering, Unsupervised ART Clustering.
25-
06 Fuzzy Set Theory : Introduction, Fuzzy set : Membership, Operations, Properties; Fuzzy Relations.
29-
(^07) Fuzzy Systems : Introduction, Fuzzy Logic, Fuzzification, Fuzzy Inference, Fuzzy Rule Based System, Defuzzification
35-
(^08) Fundamentals of Genetic Algorithms : Introduction, Encoding, Operators of Genetic Algorithm, Basic Genetic Algorithm.
37-
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-
