Feature selection using genetic algorithm for constructing time-series modelling

  • Published : 2001.10.01

Abstract

An evolutionary structure optimization method for the Gaussian radial basis function (RBF) network is presented, for modelling and predicting nonlinear time series. Generalization performance is significantly improved with a much smaller network, compared with that of the usual clustering and least square learning method.

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