Sequential neuron pruning algorithm for RBF network with guaranteed stability

@article{Ni2005SequentialNP,
  title={Sequential neuron pruning algorithm for RBF network with guaranteed stability},
  author={Jie Ni and Qing Hai Song},
  journal={Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.},
  year={2005},
  volume={2},
  pages={1069-1074 vol. 2}
}
The radial basis function (RBF) network is used in a neural network control system and the target is not only to remember the training samples but also to obtain good generalization performance. A rule of thumb for good generalization in neural systems is that the smallest system should be used to fit into the training data. Unfortunately, it is usually difficult to determine the optimal size of the RBF networks, particularly, in the sequential training procedure such as the online control… CONTINUE READING
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