May 2024
Intermediate to advanced
609 pages
24h 17m
English
book
Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
by Samir Roy, Udit Chakraborty
Content preview from Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
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Competitive Neural Nets 339
nets are able to learn only in their resonant states. e ART net is in resonant state when the
current input vector matches the winner code-vector (exemplar) so close that a reset signal is
not generated. e reset signal inhibits the ART to learn. ere are two kinds of ARTs, viz.,
ART1 and ART2. ART1 works on binary patterns and ART2 is designed for patterns with real,
or continuous, values.
SOLVED PROBLEMS
Problem 9.1 (Clustering application of SOM) Consider the SOM constructed in Example 9.2. e
weight matrix of the resultant SOM is given by
W
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Fig. 9.18 shows ...
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