An Algorithm for Finding All Solutions of a Hysteresis Neural Network

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概要

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• We consider an algorithm for finding all solutions in order to clarify all the stable equilibrium points of a hysteresis neural network. The algorithm includes sign test, linear programming test and a novel subroutine that divides the solution domain efficiently. Using the hysteresis network, we synthesize an associative memory whose cross connection parameters are trinalized. Applying the algorithm to the case where 10 desired memories are stored into 77 cells network, we have clarified all the solutions. Especially, we have confirmed that no spurious memory exists as the trinalization is suitable.

• 一般社団法人電子情報通信学会の論文
• 1999-01-25

著者

• Kobayashi Yuji

  Fuji-jyuko Ltd.

• Saito Toshimichi

  College Of Engineering Hosei University

関連論文

• A Flexible Learning Algorithm for Binary Neural Networks
• An Algorithm for Finding All Solutions of a Hysteresis Neural Network

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