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Neural Networks

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Part of the book series: Macmillan Computer Science Series ((COMPSS))

Abstract

Neural networks are computing architectures based on large numbers of relatively simple processors, called units, operating in parallel, and connected to each other by a system of links, along which relatively simple signals are passed. The motivation for such an architecture comes from the physiology of animal brains, which consist of a large number of relatively simple processors, called neurons, operating in parallel, and connected to each other by a system of axons and dendrites, along which relatively simple signals are passed. Neural networks are by no means a new idea in computing or psychological modelling, but in recent years, they have enjoyed a particularly strong revival.

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© 1994 Ian Pratt

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Pratt, I. (1994). Neural Networks. In: Artificial Intelligence. Macmillan Computer Science Series. Palgrave, London. https://doi.org/10.1007/978-1-349-13277-5_10

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  • DOI: https://doi.org/10.1007/978-1-349-13277-5_10

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-0-333-59755-2

  • Online ISBN: 978-1-349-13277-5

  • eBook Packages: EngineeringEngineering (R0)

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