Advances in Computational Intelligence and Learning: Methods and
Applications presents new developments and applications in the area
of Computational Intelligence, which essentially describes methods
and approaches that mimic biologically intelligent behavior in
order to solve problems that have been difficult to solve by
classical mathematics. Generally Fuzzy Technology, Artificial
Neural Nets and Evolutionary Computing are considered to be such
approaches.
The Editors have assembled new contributions in the areas of
fuzzy sets, neural sets and machine learning, as well as
combinations of them (so called hybrid methods) in the first part
of the book. The second part of the book is dedicated to
applications in the areas that are considered to be most relevant
to Computational Intelligence.
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