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.
Udomboso, Christopher Godwin
"On Some Properties of a Heterogeneous Transfer Function Involving Symmetric Saturated Linear (SATLINS) with Hyperbolic Tangent (TANH) Transfer Functions,"
Journal of Modern Applied Statistical Methods:
2, Article 26.
Available at: http://digitalcommons.wayne.edu/jmasm/vol12/iss2/26