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@gmail.com
Joaquin Ordieres Meré j.ordieres@upm.es
Ana González Marcos. ana.gonzalez@unirioja.es
Alpha V. Pernía Espinoza. alpha.pernia@unirioja.es
Francisco Javier Martinez de Pisón fjmartin@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 0.2-15 Index]