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This component uses the resilient backpropagation (RProp) learning algorithm to train neural networks.

Inputs

NameIDDescriptionType
Training InputsInputsThe training inputs valuesNumber
Training OutputsOutputsThe expected outputs valuesNumber
Hidden NeuronsHidden NeuronsNumber of neurons in each hidden layer.Integer
Learning AlgorithmLearning AlgorithmLearning Algorithm: (0) Backpropagation (1) Resilient Backpropagation (2) Evolutionary (Genetic) Algorithm (3) Levenberg-MarquardtInteger
Activation FunctionActivation FunctionActivation Function: (0) Sigmoid (1) Bipolar Sigmoid (2) Linear (3) Rectified Linear (4) Threshold (5) IdentityInteger
AlphaAlphaAlpha value.Number
IterationsIterationsNumber of iterations to teach the network.Integer
Input NeuronsInput NeuronsNumber of Input Neurons.Integer

Outputs

NameIDDescriptionType
Trained Nueral NetworkNeural NetworkTrained Neural NetworkGeneric Data
Error's Dynamics ErrorError's DynamicsNumber

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