ADAPTgdwm.MLPnet: Adaptative gradient descent with momentum training
In AMORE: Artificial Neural Network Training and Simulating
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
Adaptative gradient descent with momentum training method.
Usage
1
ADAPTgdwm.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 documentation built on Feb. 12, 2020, 9:07 a.m.
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Description Usage Arguments Value Author(s) References See Also
Description
Adaptative gradient descent with momentum training method.
Usage
1 | ADAPTgdwm.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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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