Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/5331
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dc.contributor.authorUdomboso, C. G.-
dc.date.accessioned2021-05-25T10:11:43Z-
dc.date.available2021-05-25T10:11:43Z-
dc.date.issued2013-11-
dc.identifier.issn1538-9472-
dc.identifier.otherui_art_udomboso_on_2013-
dc.identifier.otherJournal of Modern Applied Statistical Methods 12(2), pp. 427-435-
dc.identifier.urihttp://ir.library.ui.edu.ng/handle/123456789/5331-
dc.description.abstractFor transfer functions to map the input layer of the statistical neural network model to the output layer perfectly, they must lie within bounds that characterize probability distributions. The heterogeneous transfer function, SATLINS_TANH, is established as a Probability Distribution Function (p.d.f), and its mean and variance are shown.en_US
dc.language.isoenen_US
dc.publisherJMASM, Inc.en_US
dc.subjectStatistical neural networken_US
dc.subjectSATLINSen_US
dc.subjectTANHen_US
dc.subjectSATLINS_TANHen_US
dc.subjectMeanen_US
dc.subjectVarianceen_US
dc.titleOn some properties of a hetereogeneous transfer function involving symmetric saturated linear (SATLINS) with hyperbolic tangent (TANH) transfer functionsen_US
dc.typeArticleen_US
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