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JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015 Issue 2, Pages 50–67 (Mi itvs190)

Statistical analysis of characteristics of the recognition method on the training set

B. M. Gavrikova, M. B. Gavrikovb, N. V. Pestryakovac

a Moscow Engineering Physics Institute (National Nuclear Research University)
b Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Moscow
c Institute for Systems Analysis of Russian Academy of Sciences

Abstract: The results of statistical research of the evaluation function, the vector of primary signs and also the matrix of weight coefficients obtained during the training phase with the use of probabilistic high-precision method of recognition of handprinted characters are described.

Keywords: classification, polynomial regression, printed and hand-printed symbols.



© Steklov Math. Inst. of RAS, 2024