Nonlinear Curve Fitting Using Extreme Learning Machines and Radial Basis Function Networks

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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