activate: Neuron Activation Function

In nnetpredint: Prediction Intervals of Multi-Layer Neural Networks

Description

activation function for each neuron node, we provide the popular activation functions including 'sigmoid', 'tanh', etc.

Usage

activate(x, funName)

Arguments

x	input value to the activation function
funName	This package provides the most popular activation functions which can be used by setting the funName parameter to the following strings: 'sigmoid', 'tanh'.
	'sigmoid' sigmoid function 1/(1 + exp(-x)).
	'tanh' tanh is the hyperbolic tangent function equal to (exp(x) - exp(-x)) / (exp(x) + exp(-x)).

Examples

x <- c(-5:5)
y1 <- activate(x, funName = 'sigmoid')
y2 <- activate(x, funName = 'tanh')

Example output

nnetpredint documentation built on May 2, 2019, 12:35 p.m.