Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network

  title={Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network},
  author={Jos{\'e} de Jes{\'u}s Rubio and Plamen P. Angelov and Jaime Pacheco},
  journal={IEEE Transactions on Neural Networks},
Neural networks (NNs) have numerous applications to online processes, but the problem of stability is rarely discussed. This is an extremely important issue because, if the stability of a solution is not guaranteed, the equipment that is being used can be damaged, which can also cause serious accidents. It is true that in some research papers this problem has been considered, but this concerns continuous-time NN only. At the same time, there are many systems that are better described in the… CONTINUE READING
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  • J. J. Rubio
  • Online Self-Organizing Fuzzy Modi ed Least…
  • 2009
Highly Influential
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Discrete-time neuro-identi cation without robust identi cation

  • W. Yu, X. Li
  • IEE Proccedings-Control Theory and Applications…
  • 2003
Highly Influential
4 Excerpts

A Course in Fuzzy Systems and Control

  • L. X. Wang
  • Prentice Hall, Englewood Cliffs, NJ
  • 1997
Highly Influential
5 Excerpts

Adaptive ltering prediction and control

  • G. C. Goodwin, K. S. Sin
  • Prentice Hall, Englewood Clif s, NJ07632
  • 1984
Highly Influential
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