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Hardware combinatorial optimization problems solver by hysteresis neural networks

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3 Author(s)
Nakaguchi, T. ; Sophia Univ., Tokyo, Japan ; Jin'no, K. ; Tanaka, M.

Hysteresis neural network is applied to combinatorial optimization problems and efficiency of its parallel computing is obtained by numerical calculations. In this research, we implement hardware optimization problems solver by hysteresis neural networks. To produce hysteresis neural module, we propose a novel synapse architecture. From experimental results, we confirm the efficiency of implementation

Published in:
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on  (Volume:3 )

Date of Conference: 6-9 May 2001

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