Sorting Methods in Self-Organization of Models and Clusterizations (Review of New Basic Ideas) Iterative (Multirow) Polynomial GMDH Algorithms
نویسنده
چکیده
When solving the parametric identification problem, one must find the estimates of polynomial model coefficients by processing a sample of experimental data. The readers are, of course, sure that the number of points in the data sample cannot be smaller than the number of members of the polynomial to be estimated. But this is incorrect for iterative (or multi-row) identification algorithms where, instead of the complete polynomial
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تاریخ انتشار 2002