BATCHgd.ParcialBackwards.MLPneuron {AMORE}R Documentation

Parcial Backwards.

Description

This function is used during the forward pass to take into account the residual of the current sample and to accumulate the corresponding weight and bias changes.

Usage

BATCHgd.ParcialBackwards.MLPneuron(net, ind.MLPneuron)

Arguments

net Neural Network to train.
ind.MLPneuron Index of the neuron that needs to suffer the backpropagation effect.

Value

This function returns a neuron object with the delta, sum.delta.x and sum.delta.bias accordingly modified.

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.Backwards.MLPnet, ADAPTgd.MLPnet, train


[Package AMORE version 0.2-0 Index]