Paper Title:
Multi-Granularity and Many-to-Many Associative Memory Based on Incidence of Patterns
  Abstract

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

  Info
Periodical
Edited by
Yuanzhi Wang
Pages
284-294
DOI
10.4028/www.scientific.net/AMM.39.284
Citation
G. W. Yang, 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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