Backpropagation: In Search of Performance Parameters

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dc.contributor.authorEnumulapally, Anil Kumar
dc.contributor.authorBu, Lingguo
dc.contributor.authorKaikhah, Khosrow
dc.date.accessioned2012-02-24T10:17:53Z
dc.date.available2012-02-24T10:17:53Z
dc.date.issued2004-04
dc.description.abstractThis work is an extensive study of the backpropagation network based on a new visual tool, Equal Opportunity for Recognition (EOR) for all inputs to be recalled, which is used to evaluate the overall network performance, in particular, its generalization capabilities. The new procedure, EOR, is used as a means to assess the effect of other system parameters.
dc.description.departmentComputer Science
dc.formatText
dc.format.extent6 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationEnumulapally, A. K., Bu, L., & Kaikhah, K. (2004). Backpropagation: In Search of Performance Parameters. WSEAS Transactions On Systems, 3(2), pp. 950-955.
dc.identifier.urihttps://hdl.handle.net/10877/3818
dc.language.isoen
dc.publisherWorld Scientific and Engineering Academy and Society
dc.sourceWSEAS Transactions On Systems, 2004, Vol. 3, No. 2, pp. 950-955.
dc.subjectbackpropagation
dc.subjectnetwork evaluation
dc.subjectgeneralization
dc.subjectEOR
dc.subjectprocessing elements
dc.subjectparameters
dc.subjectComputer Science
dc.titleBackpropagation: In Search of Performance Parameters
dc.typeArticle

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