sim.MLPnet {AMORE} | R Documentation |
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.
sim(net,P,...) sim.MLPnet(net,P,...)
... |
Currently, the parameters below are accepted. |
net |
Neural Network to simulate. |
P |
Data Set input values. |
This function returns a matrix containing the output values of the neural network for the given data set.
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
Simon Haykin. Neural Networks – a Comprehensive Foundation. Prentice Hall, New Jersey, 2nd edition, 1999. ISBN 0-13-273350-1.