In this article we will try to prove that the prediction of behaviour of complex objects belongs to that part of contemporary Informatics, which deals with intelligent data analysis on large datasets. We note that the methods based on the creation of extrapolation functions are shown to be most effective for the prediction of the behaviour of objects, in particular, complex objects. Among these methods, one ofthe most promising is the Group Method of Data Han-dling (GMDH), which despite some incomenience has many advantages for effective exploration of knowledge in inaccurate and changing conditions during the tests.
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