Multiplierless multilayer feedforward neural network design using quantised neurons

An approach for designing multiplierless multilayer feedforward neural networks using quantised neurons is proposed. The design has significant merits for digital VLSI implementation in terms of reduced silicon area and increased operational speed. As compared to one-powers-of-two weights approaches...

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Bibliographic Details
Published inElectronics letters Vol. 38; no. 13; pp. 645 - 646
Main Authors Kwan, H.K., Tang, C.Z.
Format Journal Article
LanguageEnglish
Published 20.06.2002
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Summary:An approach for designing multiplierless multilayer feedforward neural networks using quantised neurons is proposed. The design has significant merits for digital VLSI implementation in terms of reduced silicon area and increased operational speed. As compared to one-powers-of-two weights approaches of multiplierless design, the quantised neurons approach offers additional advantages of simplicity in activation function realisation and freedom in weights adaptation.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0013-5194
1350-911X
DOI:10.1049/el:20020465