Pattern recognition in bistable networks

Chinarov V., Halici U., Leblebicioglu K.

Proceedings of SPIE - The International Society for Optical Engineering, vol.3722, pp.457-463, 1999 (SCI-Expanded) identifier identifier


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.