Pattern recognition in bistable networks

Vladimir Chinarov; Ugur Halici; Kemal Leblebicioglu

doi:10.1117/12.342903

22 March 1999 Pattern recognition in bistable networks

Vladimir Chinarov, Ugur Halici, Kemal Leblebicioglu

Proceedings Volume 3722, Applications and Science of Computational Intelligence II; (1999) https://doi.org/10.1117/12.342903
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Vladimir Chinarov, Ugur Halici, and Kemal Leblebicioglu "Pattern recognition in bistable networks", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342903

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