Pattern recognition in bistable networks

Date

1999-04-08

Author

VLADIMIR, CHINAROV
Halıcı, Uğur
Leblebicioğlu, Mehmet Kemal

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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.

Subject Keywords

Pattern recognition, Learning, Bistable elements, Neural-like network

URI

https://hdl.handle.net/11511/32712

DOI

https://doi.org/10.1117/12.342903

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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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.