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Nechetkie Sistemy i Myagkie Vychisleniya, 2017, Volume 12, Issue 2, Pages 97–105
DOI: https://doi.org/10.26456/fssc25 (Mi fssc25) 		 
Aspects of fuzzy-neural network decision support in identifying the author of handwriting

A. V. Ermolenkoab

a Rosgvardia Department for the Kaluga Region, Kaluga
b Management Academy of Ministry for Internal Affairs of Russia, Moscow
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DOI: https://doi.org/10.26456/fssc25
Abstract: Questions of decision-making support on processing of hand-written documents are considered. The author has developed an original allocation method of unique handwriting characteristics on the basis of the line and symbols analysis. The informational content criterion is modified and parametric base divisibility is shown.
Keywords: neural net, hand-writing, clustering, identifications.
Received: 03.09.2017
Revised: 08.12.2017
UDC: 004.93
Language: Russian
Citation: A. V. Ermolenko, “Aspects of fuzzy-neural network decision support in identifying the author of handwriting”, Nechetkie Sistemy i Myagkie Vychisleniya, 12:2 (2017), 97–105
Citation in format AMSBIB
\Bibitem{Erm17}
\by A.~V.~Ermolenko
\paper Aspects of fuzzy-neural network decision support in identifying the author of handwriting
\jour Nechetkie Sistemy i Myagkie Vychisleniya
\yr 2017
\vol 12
\issue 2
\pages 97--105
\mathnet{http://mi.mathnet.ru/fssc25}
\crossref{https://doi.org/10.26456/fssc25}
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