RProp MLP Learner

Learner

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.

Input Ports

  1. Type: Data Datatable with training data

Output Ports

  1. Type: PMML RProp trained Neural Network

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Analytics > Mining > Neural Network > MLP

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