training.report {AMORE}R Documentation

Neural network training report generator function.

Description

Function in charge of ploting graphics and writting messages showing the performance of the neural network.

Usage

training.report(net,P,T, epoch, error.criterium)

Arguments

net Neural Network to train.
P Training set input values.
T Training set output values
epoch Current epoch.
error.criterium Criterium used to measure the goodness of fit.

Value

This function does not return any value. Just useful for printing and plotting.

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, train.compare


[Package AMORE version 0.1.1 Index]