Abstract
Fast neural network techniques—extreme learning machine and radial basis function networks—are used to solve the traditional curve fitting problems, where the localized effect of a network basis function is corrected by introducing a linear neuron. Numerical experiments demonstrate that the neural-based method is accurate and well-suited for fitting large volume of data.
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