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ADAPTgd.MLPnet

Adaptative gradient descent training


Description

Adaptative gradient descent training method.

Usage

ADAPTgd.MLPnet(net,P, T,n.epochs, n.threads=0L)

Arguments

net

Neural Network to train.

P

Input data set.

T

Target output data set.

n.epochs

Number of epochs to train

n.threads

Unused, but required to match the BATCH* function template.

Value

This function returns a neural network object modified according to the input and target data set.

Author(s)

Manuel Castejón Limas. manuel.castejon@gmail.com
Joaquin Ordieres Meré. j.ordieres@upm.es
Ana González Marcos. ana.gonzalez@unirioja.es
Alpha V. Pernía Espinoza. alpha.pernia@unirioja.es
Francisco Javier Martinez de Pisón. fjmartin@unirioja.es
Fernando Alba Elías. fernando.alba@unavarra.es

References

Simon Haykin. Neural Networks – a Comprehensive Foundation. Prentice Hall, New Jersey, 2nd edition, 1999. ISBN 0-13-273350-1.

See Also


AMORE

Artificial Neural Network Training and Simulating

v0.2-16
GPL (>= 2)
Authors
Manuel Castejon Limas, Joaquin B. Ordieres Mere, Ana Gonzalez Marcos, Francisco Javier Martinez de Pison Ascacibar, Alpha V. Pernia Espinoza, Fernando Alba Elias, Jose Maria Perez Ramos
Initial release
2020-02-11

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