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On some properties of a hetereogeneous transfer function involving symmetric saturated linear (SATLINS) with hyperbolic tangent (TANH) transfer functions

For 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....

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Published: 2013-11
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/5331
042 |a dc 
720 |a Udomboso, C. G.  |e author 
260 |c 2013-11 
520 |a For 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. 
024 8 |a 1538-9472 
024 8 |a ui_art_udomboso_on_2013 
024 8 |a Journal of Modern Applied Statistical Methods 12(2), pp. 427-435 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/5331 
653 |a Statistical neural network 
653 |a SATLINS 
653 |a TANH 
653 |a SATLINS_TANH 
653 |a Mean 
653 |a Variance 
245 0 0 |a On some properties of a hetereogeneous transfer function involving symmetric saturated linear (SATLINS) with hyperbolic tangent (TANH) transfer functions