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Densely coded matrix model of associative memory

By Zhou Jingzhou and Hildesheim Univ. (Germany). Inst. fuer Informatik

Abstract

On the basis of analysing some problems arising form conventional simulation of the neural network, the basic idea presented here is to get around these problems and set up a model called Densely Coded Matrix so that the simulation of the brain in terms of associative memory can efficiently be implemented and the highest storage capacity of the memory model can be obtained. (orig.)Available from TIB Hannover: RO 8347(1995,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman

Topics: 09H - Computer software, programming, NEURAL MODELS: M, NUMERICAL FRAMEWORKS, INFORMATION DISTRIBUTION, SYNAPTIC WEIGHTS, NEURONS ACTIVITY, HOPFIELD NETWORK, DENSELY CODED MATRIX
Year: 1995
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Provided by: OpenGrey Repository
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