Udomboso, C. G.2021-05-252021-05-252013-111538-9472ui_art_udomboso_on_2013Journal of Modern Applied Statistical Methods 12(2), pp. 427-435http://ir.library.ui.edu.ng/handle/123456789/5331For 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.enStatistical neural networkSATLINSTANHSATLINS_TANHMeanVarianceOn some properties of a hetereogeneous transfer function involving symmetric saturated linear (SATLINS) with hyperbolic tangent (TANH) transfer functionsArticle