Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization

Abstract

This paper proposes a non-recurrent training algorithm, resilient propagation, for the Simultaneous Recurrent Neural network operating in relaxation-mode for computing high quality solutions of static optimization problems. Implementation details related to adaptation of the recurrent neural network weights through the non-recurrent training algorithm… (More)
DOI: 10.1142/S0129065702001199

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Cite this paper

@article{Serpen2002TrainingSR, title={Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization}, author={G{\"u}rsel Serpen and Joel Corra}, journal={International journal of neural systems}, year={2002}, volume={12 3-4}, pages={203-18} }