Pattern recognition in bistable networks

1999-04-08
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.

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Citation Formats
C. VLADIMIR, U. Halıcı, and M. K. Leblebicioğlu, “Pattern recognition in bistable networks,” 1999, vol. 3722, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32712.