Geodesic
Statistical method of recognizing on the base of nonlinear regression
Matematičeskoe modelirovanie, Tome 32 (2020) no. 4, pp. 116-130

Voir la notice de l'article provenant de la source Math-Net.Ru

The work is devoted to the statistical method of classification based on nonlinear regression. The ways of its implementation in solving the problem of recognition of printed and handwritten characters, as well as for the first time for assessing the health of the systems of the human body according to the parameters of peripheral blood. The optimal structure of polynomials is proposed. The properties of the probability estimates generated by the method are described. The structure of the sets used for its training is analyzed.
Keywords: recognition, statistical method, printed symbol, handwritten symbol, human health condition, body system, peripheral blood.
Mots-clés : classification, polynomial regression 
@article{MM_2020_32_4_a8,
     author = {B. M. Gavrikov and M. B. Gavrikov and N. V. Pestryakova},
     title = {Statistical method of recognizing on the base of nonlinear regression},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {116--130},
     publisher = {mathdoc},
     volume = {32},
     number = {4},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2020_32_4_a8/}
}
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B. M. Gavrikov; M. B. Gavrikov; N. V. Pestryakova. Statistical method of recognizing on the base of nonlinear regression. Matematičeskoe modelirovanie, Tome 32 (2020) no. 4, pp. 116-130. http://geodesic.mathdoc.fr/item/MM_2020_32_4_a8/