A MORE flexible neural network package

Documentation for package ‘AMORE’ version 0.2-15

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.LMLS	Neural network training error criteria.
deltaE.LMS	Neural network training error criteria.
deltaE.TAO	Neural network training error criteria.
dphifun	TAO robust error criterium auxiliar functions.
error.LMLS	Neural network training error criteria.
error.LMS	Neural network training error criteria.
error.TAO	Neural network training error criteria.
graphviz.MLPnet	Neural network graphic representation
hfun	TAO robust error criterium auxiliar functions.
init.MLPneuron	Neuron constructor.
newff	Create a Multilayer Feedforward Neural Network
phifun	TAO robust error criterium auxiliar functions.
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	Performs the simulation of a neural network from an input data set.
sim.MLPnet	Performs the simulation of a neural network from an input data set.
train	Neural network training function.
training.report	Neural network training report generator function.