Implementation of the RProp algorithm for multilayer feedforward networks.
RPROP performs a local adaptation of the weight-updates according to the
behavior of the error function.
For further details see: Riedmiller, M. Braun, H. : "A direct adaptive method for faster
backpropagation learning: theRPROP algorithm",Proceedings of the IEEE
International Conference on Neural Networks (ICNN) (Vol. 16, pp. 586-591).
Piscataway, NJ: IEEE.
This node provides a view of the error plot.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model.
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