GMDH-BASED OPTIMAL SET FEATURES DETERMINATION IN DISCRIMINANT ANALYSIS
DOI:
https://doi.org/10.34185/1562-9945-6-125-2019-03Abstract
The task of searching optimum on complexity discriminant function is considered. Criteria of quality of the discriminant functions developed in the Group Method of Data Handling are described: the criterion based on a partition of observations on training and testing samples, and criterion of sliding examination. The tasks of this class belong to pattern recognition problems under the condition of structural uncertainty, which were considered by academician A.G. Ivakhnenko as long ago as 60–70-th of the last century as actual problems of an engineering cybernetics.
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