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A New Approach to Adaptive Filters

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Self-Organization and Associative Memory

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 8))

Abstract

The early works around 1960 on learning machines may be characterized as attempts to implement artificial intelligence using formal models of neurons and Perceptron networks, obviously in the hope that more and more complex functions would gradually evolve from such structures. There is no doubt about the biological organisms having that fundamental organization. Why was the success in artificial constructs not straightforward as expected? Below I am aiming at a critical analysis, mainly with an objective to find amendments to the early ideas.

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Authors and Affiliations

  1. Laboratory of Computer and Information Sciences, Helsinki University of Technology, SF-02150, Espoo 15, Finland

    Professor Teuvo Kohonen

Authors
  1. Professor Teuvo Kohonen
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© 1988 Springer-Verlag Berlin Heidelberg

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Kohonen, T. (1988). A New Approach to Adaptive Filters. In: Self-Organization and Associative Memory. Springer Series in Information Sciences, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-00784-6_4

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  • DOI: https://doi.org/10.1007/978-3-662-00784-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18314-3

  • Online ISBN: 978-3-662-00784-6

  • eBook Packages: Springer Book Archive

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