Multi-Granularity and Many-to-Many Associative Memory Based on Incidence of Patterns

Abstract:

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The study of many-to-many associative memory models have obtained some achievement. The present many-to-many associative memory models can not carry out the multi-granularity association. In this paper, a kind of multi-granularity many-to-many associative memory model based on incidence of patterns is proposed by use of introducing logic calculation network and granularity control network. The model can control the granularity of output and carry out multi-granularity association

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Periodical:

Edited by:

Yuanzhi Wang

Pages:

284-294

DOI:

10.4028/www.scientific.net/AMM.39.284

Citation:

G. W. Yang and X. Yu, "Multi-Granularity and Many-to-Many Associative Memory Based on Incidence of Patterns", Applied Mechanics and Materials, Vol. 39, pp. 284-294, 2011

Online since:

November 2010

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$35.00

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