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. |