A NEURAL NETWORK MODEL FOR UNEQUALLY DISTRIBUTED NEURON STATES AND ITS OPTICAL IMPLEMENTATION | Zendy

Chang Sheng-Jiang | Zendy; LIU YUE | Zendy; Wenwei Zhang | Zendy; Jinyuan Shen | Zendy; Hongchen Zhai | Zendy; Yanxin Zhang | Zendy

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A NEURAL NETWORK MODEL FOR UNEQUALLY DISTRIBUTED NEURON STATES AND ITS OPTICAL IMPLEMENTATION

Author(s) -

Chang Sheng-Jiang,

LIU YUE,

Wenwei Zhang,

Jinyuan Shen,

Hongchen Zhai,

Yanxin Zhang

Publication year - 1998

Publication title -

acta physica sinica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.199

H-Index - 47

ISSN - 1000-3290

DOI - 10.7498/aps.47.1101

Subject(s) - clipping (morphology) , computer science , constraint (computer aided design) , encoding (memory) , artificial neural network , range (aeronautics) , biological neuron model , hopfield network , topology (electrical circuits) , artificial intelligence , mathematics , philosophy , linguistics , geometry , materials science , combinatorics , composite material

To avoid the poor performance of the Hopfield model for unequally distributed neuron states and to alleviate the dynamic range constraint of optical system, a clipped model with asymmetric clipping points is proposed. Apart from its easiness for optical implementation, the capacity and capablilty of noisy tolerance are improved greatly, compared with the former clipped model. In addition, a practical encoding method-beam-direction encoding method is proposed to implement the above clipped model. The preliminary experimental results are given.

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