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Proceedings Paper

Pattern recognition in bistable networks
Author(s): Vladimir Chinarov; Ugur Halici; Kemal Leblebicioglu
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Paper Abstract

Present study concerns the problem of learning, pattern recognition and computational abilities of a homogeneous network composed from coupled bistable units. An efficient learning algorithm is developed. New possibilities for pattern recognition may be realized due to the developed technique that permits a reconstruction of a dynamical system using the distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the applied and desired patterns.

Paper Details

Date Published: 22 March 1999
PDF: 7 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342903
Show Author Affiliations
Vladimir Chinarov, Vidhuk Scientific Research Ctr. (Ukraine)
Ugur Halici, Middle East Technical Univ. (Turkey)
Kemal Leblebicioglu, Middle East Technical Univ. (Turkey)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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