Abstract
An organized approach is considered for determining the best functional (usually polynomial) form of a mathematical model for a complex system using the minimum ofa priori information. It is necessary to know only the list of the variables that may possibly take part in the model, the corresponding table of data, and the general criterion that the model is to satisfy (e.g., “the prediction is to be accurate” or “the model is to be unbiassed”). The computer, with the help of a special organized sifting of models, uses the self-organization principle to find a unique model of optimal complexity.
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Ivakhnenko, A.G. Development of models of optimal complexity using self-organization theory. International Journal of Computer and Information Sciences 8, 111–127 (1979). https://doi.org/10.1007/BF00989666
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DOI: https://doi.org/10.1007/BF00989666