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dc.contributor.authorTan, M.A.en_US
dc.date.accessioned2016-02-08T10:55:55Z
dc.date.available2016-02-08T10:55:55Z
dc.date.issued1991en_US
dc.identifier.issn0925-1030
dc.identifier.urihttp://hdl.handle.net/11693/26164
dc.description.abstractHardware implementation of artificial neural networks has been attracting great attention recently. In this work, the analog VLSI implementation of artificial neural networks by using only transconductors is presented. The signal flow graph approach is used in synthesis. The neural flow graph is defined. Synthesis of various neural network configurations by means of neural flow graph is described. The approach presented in this work is technology independent. This approach can be applied to new neural network topologies to be proposed or used with transconductors designed in future technologies. © 1991 Kluwer Academic Publishers.en_US
dc.language.isoEnglishen_US
dc.source.titleAnalog Integrated Circuits and Signal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/BF00239680en_US
dc.subjectElectric Networks - Topologyen_US
dc.subjectIntegrated Circuits - Applicationsen_US
dc.subjectIntegrated Circuits - Designen_US
dc.subjectNeural Networks - Applicationsen_US
dc.subjectBuilding Blocksen_US
dc.subjectNeural Flow Graphen_US
dc.subjectTransconductorsen_US
dc.subjectNeural Networksen_US
dc.titleSynthesis of artificial neural networks by transconductors onlyen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage339en_US
dc.citation.epage351en_US
dc.citation.volumeNumber1en_US
dc.citation.issueNumber4en_US
dc.identifier.doi10.1007/BF00239680en_US
dc.publisherKluwer Academic Publishersen_US


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