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An Introduction to Computational Intelligence Paradigms

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Computational Intelligence Paradigms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 137))

Abstract

This chapter presents an introduction to computational intelligence (CI) paradigms. A number of CI definitions are first presented to provide a general concept of this new, innovative computing field. The main constituents of CI, which include artificial neural networks, fuzzy systems, and evolutionary algorithms, are explained. In addition, different hybrid CI models arisen from synergy of neural, fuzzy, and evolutionary computational paradigms are discussed.

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Authors and Affiliations

  1. School of Electrical & Information Engineering, University of South Australia, Australia

    Lakhmi C. Jain

  2. Faculty of Information Science and Technology, Multimedia University, Malaysia

    Shing Chiang Tan

  3. School of Electrical & Electronic Engineering, University of Science Malaysia, Malaysia

    Chee Peng Lim

Authors
  1. Lakhmi C. Jain
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  2. Shing Chiang Tan
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  3. Chee Peng Lim
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Editor information

Lakhmi C. Jain Mika Sato-Ilic Maria Virvou George A. Tsihrintzis Valentina Emilia Balas Canicious Abeynayake

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Jain, L.C., Tan, S.C., Lim, C.P. (2008). An Introduction to Computational Intelligence Paradigms. In: Jain, L.C., Sato-Ilic, M., Virvou, M., Tsihrintzis, G.A., Balas, V.E., Abeynayake, C. (eds) Computational Intelligence Paradigms. Studies in Computational Intelligence, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79474-5_1

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  • DOI: https://doi.org/10.1007/978-3-540-79474-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79473-8

  • Online ISBN: 978-3-540-79474-5

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