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Information Storage Capacity of Incompletely Connected Associative Memories
Neural Networks
  • Holger Bosch, University of Geneva
  • Franz J. Kurfess, New Jersey Institute of Technology
Publication Date

In this paper, the memory capacity of incompletely connected associative memories is investigated. First, the capacity is derived for memories with fixed parameters. Optimization of the parameters yields a maximum capacity between 0.53 and 0.69 for hetero-association and half of it for auto-association improving previously reported results. The maximum capacity grows with increasing connectivity of the memory and requires sparse input and output patterns. Further, parameters can be chosen in such a way that the information content per pattern asymptotically approaches 1 with growing size of the memory.

Citation Information
Holger Bosch and Franz J. Kurfess. "Information Storage Capacity of Incompletely Connected Associative Memories" Neural Networks Vol. 11 Iss. 5 (1998) p. 869 - 876
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