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Neural Computation, Vol 9, 385-401, Copyright © 1997 by The MIT Press

LETTERS

The Behavior of Forgetting Learning in Bidrectional Associative Memory

Chi Sing Leung and Lai Wan Chan

Forgetting learning is an incremental learning rule in associative memories. With it, the recent learning items can be encoded, and the old learning items will be forgotten. In this article, we analyze the storage behavior of bidrectional associative memory (BAM) under the forgetting learning. That is, 'Can the most recent k learning items be stored as a fixed point?' Also, we discuss how to choose the forgetting constant in the forgetting learning such that the BAM can correctly store as many as possible of the most recent learning items. Simulation is provided to verify the theoretical analysis.




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J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1997 by The MIT Press.