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Original Articles

Improved backpropagation learning rates in neural nets

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Pages 1-7 | Received 15 Jul 1996, Published online: 20 Mar 2007

References

  • Evans , D. J. and Sanossian , H. Y. Y. 1993 . A Gradient Range-Based Heuristic Algorithm for Backpropagation . Journal of Microcomputer Applications , 16 : 179 – 188 .
  • Fahlman , S. E. 1988 . “ Fast Learning Variations on Back-propagation: An Empirical Study ” . In Proceedings, Connec-tionist Models Summer School , Edited by: Touretzky , D. S. , Hinton , G. E. and Segnowski , T. J. 38 – 51 . Los Mateo, CA, Morgan Kaufmann .
  • Jacobs , R. A. 1988 . Increased Rates of Convergence Through Learning Rate Adaptation . Neural Networks , 1 : 295 – 307 .
  • Sanossian , H. Y. Y. and Evans , D. J. 1995 . Gradient Range-Based Heuristic (GRBH) Method for Accelerating Neural Network Convergence . Integrated Computer-Aided Engineering , 2 ( 2 ) : 147 – 152 .
  • Sliva , F. M and Almeida , L. B. 1990 . “ Speeding Up Back-propagation ” . In Proceedings of NSMS International Symposium on Neural Networks for Sensory and Motor Systems , Amsterdam : Elsevier Science Publishers .

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