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A study of extended learning strategies for bidirectional associative memories

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1 Author(s)
Neubauer, A. ; Dept. of Commun. Eng., Duisburg Gerhard-Mercator-Univ., Duisburg

This paper presents a study of extended learning mechanisms for Kosko's bidirectional associative memory-a classical artificial neural network with applications to, for example, pattern recognition and image processing. The incorporation of sigma-pi (ΣΠ)-units instead of the conventional Σ-units in the BAM is considered leading to the ΣΠ-BAM. A Hebbian learning algorithm for ΣΠ-units is proposed and simulation results are given, indicating the increased performance of the ΣΠ-BAM as a pattern association device

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:4 )

Date of Conference:

Nov/Dec 1995