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".
|Author||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|
|Date of publication||2014-04-14 14:53:30|
|Maintainer||Manuel Castejón Limas <email@example.com>|
|License||GPL (>= 2)|
ADAPTgd.MLPnet: Adaptative gradient descent training
ADAPTgdwm.MLPnet: Adaptative gradient descent with momentum training
BATCHgd.MLPnet: Batch gradient descent training
BATCHgdwm.MLPnet: Batch gradient descent with momentum training
deltaE: Neural network training error criteria.
graphviz.MLPnet: Neural network graphic representation
init.MLPneuron: Neuron constructor.
newff: Create a Multilayer Feedforward Neural Network
random.init.MLPnet: Initialize the network with random weigths and biases.
random.init.MLPneuron: Initialize the neuron with random weigths and bias.
select.activation.function: Provides R code of the selected activation function.
sim.MLPnet: Performs the simulation of a neural network from an input...
taofun: TAO robust error criterium auxiliar functions.
train: Neural network training function.
training.report: Neural network training report generator function.