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An Introduction to Neural Networks

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Part of the book series: Eurocourses: Computer and Information Science ((EUIS,volume 3))

Abstract

Artificial neural network models constitute an emerging technology for information processing that can already be credited with some convincing achievements. With the pragmatic purpose to show how — and not why — neural nets work, an overview of the main static and dynamic features of the principal connectionist models is provided.

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© 1991 Springer Science+Business Media Dordrecht

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Varfis, A. (1991). An Introduction to Neural Networks. In: Heidrich, D., Grossetie, J.C. (eds) Computing with T.Node Parallel Architecture. Eurocourses: Computer and Information Science, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3496-5_12

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  • DOI: https://doi.org/10.1007/978-94-011-3496-5_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5546-8

  • Online ISBN: 978-94-011-3496-5

  • eBook Packages: Springer Book Archive

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