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Part of the book series: Springer Series in Synergetics ((SSSYN))

Abstract

In this chapter we wish to show how our general approach allows us to deal with central problems in pattern recognition. In Sect. 12.1 we will rederive relations allowing feature selection that will be explained below. In Sect. 12.2 we present the basic scheme for the construction of a parallel computer for pattern recognition. The subsequent sections, 12.3 and 12.4, show how such a system can learn patterns to be recognized. Finally, Sect. 12.5 extends these results to the learning of processes. Section 12.1 is a bit formal so that readers who are only interested in the most important topics of this chapter need to read this section only as far as equation (12.1) and may then proceed to the subsequent sections.

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References

  • H. Haken (ed.): Pattern Formation by Dynamic Systems and Pattern Recognition, Springer Ser. Syn., Vol. 5 (Springer, Berlin, Heidelberg 1979)

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  • J.S. Denker (ed.): Neural Networks for Computing, AIP Conf. Proc. 151, New York 1986

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  • M. Candill, S. Butler: IEEE First Int. Conf. on Neural Networks, Vols. I-IV, SOS Printing, San Diego 1987

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Section 12.1

  • P.A. Devijver, J. Kittler: Pattern Recognition, A Statistical Approach (Prentice Hall, Englewood Cliffs, N.J. 1982)

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Section 12.2

  • H. Haken: In Computational Systems, Natural and Artificial, ed. by H. Haken, Springer Ser. Syn., Vol. 38 (Springer, Berlin, Heidelberg 1987)

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Section 12.3

Section 12.4

  • H. Haken: unpublished

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  • For the special case of spin glasses see D.H. Ackley, G.E. Hinton, T.J. Sejnowski: Cognitive Science 9, 147 (1985)

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Section 12.5

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© 1988 Springer-Verlag Berlin Heidelberg

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Haken, H. (1988). Pattern Recognition. In: Information and Self-Organization. Springer Series in Synergetics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07893-8_12

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  • DOI: https://doi.org/10.1007/978-3-662-07893-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-07895-2

  • Online ISBN: 978-3-662-07893-8

  • eBook Packages: Springer Book Archive

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