ADAPTgd.Forward.MLPnet {AMORE}R Documentation

Performs the forward pass in the ADAPTgd training method.

Description

Written to be called by the train function. This function is similar to sim.Forward.MLPnet.R but the derivative of the activation function of the Neural Network neurons are also calculated. Both R and C versions are provided.

Usage

ADAPTgd.Forward.MLPnet(net,Pvector)
ADAPTgd.Forward.MLPnet.R(net,Pvector)
 

Arguments

net Neural Network to adapt.
Pvector Input vector to propagate.

Value

This function returns the forward passed Neural Network.

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

ADAPTgd.Forward.MLPneuron


[Package AMORE version 0.2-0 Index]