Properties of a nonparametric estimation of the equation of a separating surface in the pattern recognition task at casual values of fuzziness coefficients of kernel functions

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Asymptotic properties of nonparametric estimation of the equation of the separating surface grounded on the randomized method of the estimation optimization are researched. Their correlation with properties of traditional nonparametric decision function of type a Rosenblatt-Parzen is made.

Nonparametric statistics, pattern recognition, random fuzziness parameters, asymptotic properties

Короткий адрес: https://sciup.org/148176195

IDR: 148176195

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