ADAPTgd.Backwards.MLPnet {AMORE}R Documentation

Backpropagates the single pattern error modifying accordingly the Neural Network's weights and biases in the ADAPTgd training method.

Description

Mainly written to be called by the ADAPTgd.MLPnet function.

Usage

ADAPTgd.Backwards.MLPnet(net,target)
ADAPTgd.Backwards.MLPnet.R(net,target)

Arguments

net Neural Network to train.
target Training output vector.

Value

This function returns a Neural Network object with weights and biases adjusted by the adaptative backpropagation (without momentum) method.

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.MLPnet, train


[Package AMORE version 0.2-0 Index]