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10

IJON
2000

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Synthesis approach for bidirectional associative memories based on the perceptron training algorithm

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Synthesis approach for bidirectional associative memories based on the perceptron training algorithm

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Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is developed for bidirectional associative memories using feedback neural networks. The synthesis problem of bidirectional associative memories is formulated as a set of linear inequalities which can be solved using the perceptron training algorithm. To demonstrate the applicability of the present results, a speci"c example is considered. 2000 Elsevier Science B.V. All rights reserved.

Ismail Salih, Stanley H. Smith, Derong Liu

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Bidirectional Associative Memories | Feedback Neural Networks | IJON 2000 | Pattern Recognition |

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Added	18 Dec 2010
Updated	18 Dec 2010
Type	Journal
Year	2000
Where	IJON
Authors	Ismail Salih, Stanley H. Smith, Derong Liu

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