Bio-Inspired Hybrid Intelligent Systems for Image Analysis and
Pattern Recognition comprises papers on diverse aspects of
bio-inspired models, soft computing and hybrid intelligent
systems.
The articles are divided into four main parts. The first one
consists of papers that propose new fuzzy and bio-inspired models
to solve general problems. The second part deals with the main
theme of modular neural networks in pattern recognition, which are
basically papers using bio-inspired techniques. The third part
contains papers that apply hybrid intelligent systems to the
problem of time series analysis and prediction, while the fourth
one shows papers dealing with bio-inspired models in optimization
and robotics applications. An edited book in which both theoretical
and application aspects are covered.
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