Generalized function analysis using hybrid evolutionary algorithms
Hafner, C.; Frohlich, J.
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Volume 1, Issue , 1999 Page(s): - 294 Vol. 1
Digital Object Identifier   10.1109/CEC.1999.781938
Summary:Two novel codes for the prediction of time series are presented. Unlike most of the prominent codes based on finding a process that predicts the future data, these codes are based on function analysis and symbolic regression. Both codes are based on a generalization and combination of series expansions, parameter optimization techniques, and genetic programming. These highly complex codes are outlined and applied to different examples of physics and economy

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