backpropagate.adapt.R.NeuralNet

backpropagate.adapt.C.NeuralNet

target

Mainly written to be called by the adapt.R.NeuralNet function. Currently two versions are available: the original R code function (backpropagate.adapt.R.NeuralNet) has kept for educational purposses while the C code version (<a href="/link/backpropagate.adapt.C.NeuralNet?package=AMORE&version=0.1.1" rd-options="" data-mini-rdoc="AMORE::backpropagate.adapt.C.NeuralNet">backpropagate.adapt.C.NeuralNet</a>) provides higher speeds of executions and thus is most likely the one to be preferred.

neural

This package was born to release the TAO robust neural network algorithm to the R users. It has grown and I think it can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the "user space".

Manuel Castejon Limas

AMORE

A MORE flexible neural network package

backpropagate.adapt.R.NeuralNet function

encoding

Backpropagates the single pattern error modifying accordingly the Neural Network's weights and biases.

backpropagate.adapt.R.NeuralNet: Backpropagates the single pattern error modifying accordingly the Neural Network's weights and biases.

Description

Usage

Arguments

Value

encoding

References

See Also