# A MORE flexible neural network package

## Documentation for package ‘AMORE’ version 0.2-15

- DESCRIPTION file.

## Help Pages

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.