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Intelligent systems architecture: Design techniques

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Artificial Neural Networks for Intelligent Manufacturing

Part of the book series: Intelligent Manufacturing Series ((IMS))

Abstract

The purpose in modern intelligent systems design is to specify, design and implement systems that have a high degree of machine intelligence. Machine intelligence can be defined as the ability to emulate or duplicate the sensory processing and decision making capabilities of human beings in computing machines (Barr and Feigenbaum, 1981). Intelligent systems need the ability to learn autonomously and to adapt in uncertain or partially-known environments if they are to progress past the academic domain and into a full engineering implementation. Different approaches have been utilized that either take advantage of one particular artificial intelligence methodology or exploit the complementary properties of several techniques to achieve a common goal.

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Author information

Authors and Affiliations

  1. Department of Computing and Information Science, University of Guelph, Guelph, Ontario, N1G 2W1, Canada

    Deborah Stacey

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  1. Deborah Stacey
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Editor information

Editors and Affiliations

  1. Department of Engineering Management, University of Missouri-Rolla, USA

    Cihan H. Dagli (Associate Professor) (Associate Professor)

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© 1994 Springer Science+Business Media Dordrecht

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Stacey, D. (1994). Intelligent systems architecture: Design techniques. In: Dagli, C.H. (eds) Artificial Neural Networks for Intelligent Manufacturing. Intelligent Manufacturing Series. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0713-6_2

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  • DOI: https://doi.org/10.1007/978-94-011-0713-6_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4307-6

  • Online ISBN: 978-94-011-0713-6

  • eBook Packages: Springer Book Archive

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