Computational intelligence techniques

Sundaram, Bharat, Palaniswami, Marimuthu, Shilton, Alistair and Begg, Rezaul 2006, Computational intelligence techniques. In Begg, Rezaul and Palaniswami, Marimuthu (ed), Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques, IGI Global, Hershey, Pa., pp.139-171, doi: 10.4018/978-1-59140-836-9.ch004.

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Title Computational intelligence techniques
Author(s) Sundaram, Bharat
Palaniswami, Marimuthu
Shilton, AlistairORCID iD for Shilton, Alistair
Begg, Rezaul
Title of book Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Editor(s) Begg, Rezaul
Palaniswami, Marimuthu
Publication date 2006
Chapter number 4
Total chapters 13
Start page 139
End page 171
Total pages 33
Publisher IGI Global
Place of Publication Hershey, Pa.
Summary 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.
ISBN 9781591408369
ISSN 1935-3731
Language eng
DOI 10.4018/978-1-59140-836-9.ch004
Indigenous content off
HERDC Research category BN.1 Other book chapter, or book chapter not attributed to Deakin
Copyright notice ©2006, Idea Group
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