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Proceedings Paper

Attractor neural networks with global and local dilution of weights
Author(s): Colin Campbell
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Paper Abstract

We consider the generalization ability of dilute (partially connected) attractor neural networks. The generalization probability is considered for two types of dilution: networks in which the dilution is fixed before learning (local dilution) and networks in which the connectivity is decided during learning so as to optimize the storage capacity (global dilution).

Paper Details

Date Published: 1 July 1992
PDF: 4 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140144
Show Author Affiliations
Colin Campbell, Univ. of Bristol (United Kingdom)

Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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