Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm

@article{Wang2001DynamicOL,
  title={Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm},
  author={Chi-Hsu Wang and Han-Leih Liu and Chin-Teng Lin},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={2001},
  volume={31 3},
  pages={467-75}
}
The stability analysis of the learning rate for a two-layer neural network (NN) is discussed first by minimizing the total squared error between the actual and desired outputs for a set of training vectors. The stable and optimal learning rate, in the sense of maximum error reduction, for each iteration in the training (back propagation) process can therefore be found for this two-layer NN. It has also been proven in this paper that the dynamic stable learning rate for this two-layer NN must be… CONTINUE READING
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