Abstract
In Chaps. 5 and 6 we presented our general algorithm for the recognition of patterns. This algorithm exploited strong analogies between pattern formation and pattern recognition as unearthed by synergetics. In this chapter we wish to show how this algorithm can be also implemented on a network which acts in a highly parallel manner.
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references>H. Haken: In Pattern Formation by Dynamical Systems and Pattern Recognition,ed. by H. Haken, Springer Ser. Syn. Vol. 5 (Springer, Berlin, Heidelberg 1979)
H. Haken: In Computational Systems, Natural and Artificial, ed. by H. Haken, Springer Ser. Syn. Vol. 38 ( Springer, Berlin, Heidelberg 1987 )
H. Haken: In Neural and Synergetic Computers, Proceedings of the International Symposium, Schloss Elmau, ed. by H. Haken, Springer Ser. Syn. Vol. 42 ( Springer, Berlin, Heidelberg 1988 )
H. Haken: Synergetics. An Introduction, 3rd. ed Springer Ser. Syn. Vol. 1 ( Springer, Berlin, Heidelberg 1983 )
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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© 1991 Springer-Verlag Berlin Heidelberg
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Haken, H. (1991). Possible Realizations by Networks. In: Synergetic Computers and Cognition. Springer Series in Synergetics, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-22450-2_7
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DOI: https://doi.org/10.1007/978-3-662-22450-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-22452-6
Online ISBN: 978-3-662-22450-2
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