sim.C.NeuralNet {AMORE}R Documentation

Performs the simulation of a neural network providing the output values.

Description

This function calculates the output values of the neural network for a given data set. Various versions are provided according to different degrees of C code conversion. The sim.NeuralNet function is the latest and quickest.

Usage

sim.NeuralNet(net,P)
sim.R.NeuralNet(net,P)
sim.C.NeuralNet(net,P)

Arguments

net Neural Network to simulate.
P Data Set input values.

Value

This function returns a matrix containing the output values of the neural network for the given data set.

Author(s)

Manuel Castejón Limas. manuel.castejon@unileon.es
Joaquin Ordieres Meré. joaquin.ordieres@dim.unirioja.es
Ana González Marcos. ana.gonzalez@unileon.es
Alpha V. Pernía Espinoza. alpha.pernia@alum.unirioja.es
Eliseo P. Vergara Gonzalez. eliseo.vergara@dim.unirioja.es
Francisco Javier Martinez de Pisón. francisco.martinez@dim.unirioja.es
Fernando Alba Elías. fernando.alba@unavarra.es

References

Simon Haykin. Neural Networks. A comprehensive foundation. 2nd Edition.

See Also

train


[Package AMORE version 0.1.1 Index]