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dc.contributor.authorEnumulapally, Anil Kumar ( )en_US
dc.contributor.authorBu, Lingguo ( )en_US
dc.contributor.authorKaikhah, Khosrow ( )en_US
dc.date.accessioned2012-02-24T10:17:53Z
dc.date.available2012-02-24T10:17:53Z
dc.date.issued2004-04en_US
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://digital.library.txstate.edu/handle/10877/3818
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.en_US
dc.formatText
dc.format.extent6 pages
dc.format.medium1 file (.pdf)
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.subjectBackpropagationen_US
dc.subjectNetwork evaluationen_US
dc.subjectGeneralizationen_US
dc.subjectEORen_US
dc.subjectProcessing elementsen_US
dc.subjectParameters.
dc.titleBackpropagation: In Search of Performance Parametersen_US
dc.typepublishedVersion
txstate.documenttypeArticle
txstate.departmentComputer Science


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