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Artificial Neural Networks

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Neural Networks for Identification, Prediction and Control

Abstract

Artificial neural networks are computational models of the brain. There are many types of neural networks representing the brain’s structure and operation with varying degrees of sophistication. This chapter provides an introduction to the main types of networks and presents examples of each type.

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Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory Systems Division, Cardiff School of Engineering, University of Wales, Cardiff, UK

    Duc Truong Pham & Xing Liu

Authors
  1. Duc Truong Pham
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  2. Xing Liu
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© 1995 Springer-Verlag London Limited

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Pham, D.T., Liu, X. (1995). Artificial Neural Networks. In: Neural Networks for Identification, Prediction and Control. Springer, London. https://doi.org/10.1007/978-1-4471-3244-8_1

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  • DOI: https://doi.org/10.1007/978-1-4471-3244-8_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-3246-2

  • Online ISBN: 978-1-4471-3244-8

  • eBook Packages: Springer Book Archive

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