backpropagate.adapt.R.neuron {AMORE}R Documentation

Backpropagates the single pattern error modifying accordingly the neuron's weights and bias.

Description

This is the original R code version mainly written to be called by backpropagate.adapt.R.NeuralNet. Since this latter function has been rewritten (backpropagate.adapt.C.NeuralNet) to call the C code corresponding function (BackpropagateAdaptNeuronC), it has been kept just for educational purposes and it is not meant to be used otherwise.

Usage

 backpropagate.adapt.R.neuron(net, ind.neuron) 

Arguments

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

Value

This function returns a neuron object with weights and bias adjusted by the adaptative backpropagation with 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

backpropagate.adapt.R.NeuralNet, adapt.R.NeuralNet, train, train.compare


[Package AMORE version 0.1.1 Index]