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AMORE (version 0.2-16)

BATCHgd.MLPnet: Batch gradient descent training

Description

Modifies the neural network weights and biases according to the training set.

Usage

BATCHgd.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

Number of threads to spawn. If <1, spawns NumberProcessors-1 threads. If no OpenMP is found, this argument will be ignored.

Value

This function returns a neural network object modified according to the chosen data.

References

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

See Also

newff,train,BATCHgdwm.MLPnet