A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation
Radial basis function (RBF) neural network is constructed of certain number of RBF neurons, and these networks are among the most used neural networks for modeling of various nonlinear problems in engineering. Conventional RBF neuron is usually based on Gaussian type of activation function with sing...
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Veröffentlicht in: | Neural networks 2013-10, Vol.46, p.210-226 |
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Sprache: | eng |
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