This quite simply superb book focuses on various techniques of
computational intelligence, both single ones and those which form
hybrid methods. These techniques are today commonly applied to
issues of artificial intelligence. The book presents methods of
knowledge representation using different techniques, namely the
rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up,
various neural network architectures are presented and their
learning algorithms are derived. Then, the family of evolutionary
algorithms is discussed, including connections between these
techniques and neural networks and fuzzy systems. Finally, various
methods of data partitioning and algorithms of automatic data
clustering are given and new neuro-fuzzy architectures are studied
and compared.
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