sim.MLPnet {AMORE}R Documentation

Performs the simulation of a neural network from an input data set.

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.MLPnet function is the latest and quickest.

Usage

sim(net,P,...)
sim.MLPnet(net,P,...)

Arguments

... Currently, the parameters below are accepted.
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. Prentice Hall, New Jersey, 2nd edition, 1999. ISBN 0-13-273350-1.

See Also

newff,train


[Package AMORE version 0.2-11 Index]