backpropagate.adapt.R.NeuralNet {AMORE} | R Documentation |
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 (backpropagate.adapt.C.NeuralNet) provides higher speeds of executions and thus is most likely the one to be preferred.
backpropagate.adapt.R.NeuralNet(net,target) backpropagate.adapt.C.NeuralNet(net,target)
net |
Neural Network to train. |
target |
Training output vector. |
This function returns a Neural Network object with weights and biases adjusted by the adaptative backpropagation with momentum method.
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
Simon Haykin. Neural Networks. A comprehensive foundation. 2nd Edition.
backpropagate.adapt.R.NeuralNet
, adapt.R.NeuralNet
, train
, train.compare