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

Extension

This node is part of the extension

KNIME Core

v4.0.0

Short Link

Drag node into KNIME Analytics Platform