adapt.NeuralNet         Adaptative on-line single pattern training
backpropagate.adapt.R.NeuralNet
                        Backpropagates the single pattern error
                        modifying accordingly the Neural Network's
                        weights and biases.
backpropagate.adapt.R.neuron
                        Backpropagates the single pattern error
                        modifying accordingly the neuron's weights and
                        bias.
error.TAO               Neural network training error criteria.
forward.adapt.R.NeuralNet
                        Perform the forward pass in the adaptative
                        training.
forward.adapt.R.neuron
                        Perform the neuron forward pass in the
                        adaptative training.
forwardpass.R.NeuralNet
                        Simulate a Neural Network response.
forwardpass.R.neuron    Simulate a neuron response.
hfun                    TAO robust error criterium auxiliar functions.
init.neuron             Neuron constructor.
newff                   Feedforward Neural Network
random.init.NeuralNet   Initialize the network with random weigths and
                        biases.
random.init.neuron      Initialize the neuron with random weigths and
                        bias.
restrict                Restrict the patterns to the [-1,1] interval.
select.activation.function
                        Provides R code of the selected activation
                        function.
set.learning.rate.and.momentum
                        Set Learning rate and momentum.
sim.C.NeuralNet         Performs the simulation of a neural network
                        providing the output values.
train                   Neural network training function.
train.compare           Trains the same neural network according to
                        different error criteria.
training.report         Neural network training report generator
                        function.
