Artificial Neural Network Training and Simulating


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Documentation for package ‘AMORE’ version 0.2-16

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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.