A MORE flexible neural network package

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Documentation for package `AMORE' version 0.2-0

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ADAPTgd.Backwards.MLPnet Backpropagates the single pattern error modifying accordingly the Neural Network's weights and biases in the ADAPTgd training method.
ADAPTgd.Backwards.MLPneuron Backpropagates the single pattern error modifying accordingly the neuron's weights and bias in the ADAPTgd training method.
ADAPTgd.Forward.MLPnet Performs the forward pass in the ADAPTgd training method.
ADAPTgd.Forward.MLPneuron Perform the neuron forward pass in the ADAPTgd training method.
ADAPTgd.MLPnet Adaptative on-line gradient descent single pattern training
ADAPTgdwm.Backwards.MLPnet Backpropagates the single pattern error modifying accordingly the Neural Network's weights and biases in the ADAPTgdwm training method.
ADAPTgdwm.Backwards.MLPneuron Backpropagates the single pattern error modifying accordingly the neuron's weights and bias in the ADAPTgdwm training method.
ADAPTgdwm.Forward.MLPnet Performs the forward pass in the ADAPTgdwm training method.
ADAPTgdwm.Forward.MLPneuron Perform the neuron forward pass in the ADAPTgdwm training method.
ADAPTgdwm.MLPnet Adaptative on-line gradient descent with momentum single pattern training
BATCHgd.Forward.MLPnet Performs the forward pass in the BATCHgd training method.
BATCHgd.Forward.MLPneuron Perform the neuron forward pass in the BATCHgd training method.
BATCHgd.MLPnet Batch gradient descent (without momentum) training
BATCHgd.ParcialBackwards.MLPneuron Parcial Backwards.
BATCHgd.UpdateWeights.MLPnet Update weights.
BATCHgd.UpdateWeights.MLPneuron Update weights.
BATCHgdwm.Forward.MLPnet Performs the forward pass in the BATCHgdwm training method.
BATCHgdwm.Forward.MLPneuron Perform the neuron forward pass in the BATCHgdwm training method.
BATCHgdwm.MLPnet Batch gradient descent with momentum training
BATCHgdwm.ParcialBackwards.MLPneuron Parcial Backwards.
BATCHgdwm.UpdateWeights.MLPnet Update weights.
BATCHgdwm.UpdateWeights.MLPneuron Update weights.
BATCHgdwm.zero.former.change.values Sets former change value variables to zero.
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.
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.Forward.MLPnet Simulate a Neural Network response from a single input vector.
sim.Forward.MLPneuron Simulate a neuron response from a single input vector.
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.