A direct adaptive method for faster backpropagation learning: the RPROP algorithm

  title={A direct adaptive method for faster backpropagation learning: the RPROP algorithm},
  author={Martin A. Riedmiller and Heinrich Braun},
  journal={IEEE International Conference on Neural Networks},
  pages={586-591 vol.1}
A learning algorithm for multilayer feedforward networks, RPROP (resilient propagation), is proposed. To overcome the inherent disadvantages of pure gradient-descent, RPROP performs a local adaptation of the weight-updates according to the behavior of the error function. Contrary to other adaptive techniques, the effect of the RPROP adaptation process is not blurred by the unforeseeable influence of the size of the derivative, but only dependent on the temporal behavior of its sign. This leads… 

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  • S. NgC. CheungS. LeungA. Luk
  • Computer Science
    IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)
  • 2001
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