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sim.MLPnet

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

AMORE

Artificial Neural Network Training and Simulating

v0.2-16
GPL (>= 2)
Authors
Manuel Castejon Limas, Joaquin B. Ordieres Mere, Ana Gonzalez Marcos, Francisco Javier Martinez de Pison Ascacibar, Alpha V. Pernia Espinoza, Fernando Alba Elias, Jose Maria Perez Ramos
Initial release
2020-02-11

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