RETRIEVAL PROPERTIES OF HOPFIELD NEURAL NETWORK MODELS | Zendy

MA YU-QIANG | Zendy; ZHANG YUE-MING | Zendy; GONG CHANG-DE | Zendy

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RETRIEVAL PROPERTIES OF HOPFIELD NEURAL NETWORK MODELS

Author(s) -

MA YU-QIANG,

ZHANG YUE-MING,

GONG CHANG-DE

Publication year - 1993

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.42.1356

Subject(s) - hopfield network , artificial neural network , computer science , value (mathematics) , statistical physics , distribution (mathematics) , artificial intelligence , biological system , machine learning , physics , mathematics , mathematical analysis , biology

In this paper, we propose a bimodal distribution of random neuronal activity threshold with different probabilities, to consider the influences on the retrieval properties of neural network. It is shown that the system successfully retrieves information even if the number of stored patterns exceeds the critical value of the pure Hopfield model.

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