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Computational intelligence techniques

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posted on 2006-12-01, 00:00 authored by Bharat Sundaram, Marimuthu Palaniswami, Alistair ShiltonAlistair Shilton, Rezaul Begg
Computational intelligence (CI) encompasses approaches primarily based on artificial neural networks, fuzzy logic rules, evolutionary algorithms, support vector machines and also approaches that combine two or more techniques (hybrid). These methods have been applied to solve many complex and diverse problems. Recent years have seen many new developments in CI techniques and, consequently, this has led to many applications in a variety of areas including engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems. The main objective of this chapter is to provide a brief description of the major computational intelligence techniques for pattern recognition and modelling tasks that often appear in biomedical, health and human movement research.

History

Chapter number

4

Pagination

139-171

ISSN

1935-3731

eISSN

1935-374X

ISBN-13

9781591408369

Language

eng

Publication classification

BN.1 Other book chapter, or book chapter not attributed to Deakin

Copyright notice

2006, Idea Group

Extent

13

Editor/Contributor(s)

Begg R, Palaniswami M

Publisher

IGI Global

Place of publication

Hershey, Pa.

Title of book

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

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