Title: A novel digital multiplier chip based on the neural network
Abstract: A novel digital multiplier, based on the unidirectional-feedback-type (UFT) neural network, was designed and implemented in VLSI. The number of feedback connections in the proposed UFT neural net work has been reduced to a half of the number required in the Hopfield model. The application of the UFT neural network to digital circuits is illustrated in designing a binary multiplier chip. The architecture of the digital multiplier used in this work is simpler than those of earlier ones designed by other conventional digital techniques.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Publication Year: 2002
Publication Date: 2002-12-04
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 4
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