A Meta Neural Network Polling System for the RPROP Learning Rule

  • C. McCormack
Conference paper


This paper proposes an application independent method of automating learning rule parameter selection using a group of supervisor neural networks, known as meta neural networks, to alter the value of a learning rule parameter during training. Each meta neural network is trained using data generated by observing the training of a neural network and recording the effects of the selection of various parameter values. A group of meta neural networks is then polled to obtain a parameter value for a learning rule. Experiments are undertaken to see how this method performs by using it to adapt a global parameter of RPROP.


Learning Rule Heart Problem Rule Parameter Supervisor Neural Network Thyroid Problem 


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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • C. McCormack
    • 1
  1. 1.Department of Computer ScienceUniversity College CorkCorkIreland

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