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Preprints of the Keldysh Institute of Applied Mathematics, 2018, 110, 24 pp.
DOI: https://doi.org/10.20948/prepr-2018-110
(Mi ipmp2469)
 

This article is cited in 4 scientific papers (total in 4 papers)

An approach to modeling of the secondary radiation-induced effects in complex technical objects

V. A. Egorova, K. K. Inozemtseva, M. E. Zhukovskiy
References:
Abstract: The technique of the calculation of initial data for computing the secondary radiation-induced effects in complex technical objects being under radiation is developed. The method is based on the multidimensional approximation of the results of the statistical modeling of the interaction between radiation end matter to a difference grid destined for numerical solving the thermodynamic equations. Various types of the approximation and methods of their implementation are formulated. Applicability of the types is determined by the available a priori information on the function to be approximated and geometrical properties of an object. Examples of the multidimensional approximation in discussed problems by use of the neural networks are given.
Keywords: mathematical modeling, ionizing radiation, multidimensional approximation, neural networks.
Funding agency Grant number
Russian Foundation for Basic Research 18-01-00582
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: V. A. Egorova, K. K. Inozemtseva, M. E. Zhukovskiy, “An approach to modeling of the secondary radiation-induced effects in complex technical objects”, Keldysh Institute preprints, 2018, 110, 24 pp.
Citation in format AMSBIB
\Bibitem{EgoInoZhu18}
\by V.~A.~Egorova, K.~K.~Inozemtseva, M.~E.~Zhukovskiy
\paper An approach to modeling of the secondary radiation-induced effects in complex technical objects
\jour Keldysh Institute preprints
\yr 2018
\papernumber 110
\totalpages 24
\mathnet{http://mi.mathnet.ru/ipmp2469}
\crossref{https://doi.org/10.20948/prepr-2018-110}
\elib{https://elibrary.ru/item.asp?id=34941683}
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  • https://www.mathnet.ru/eng/ipmp2469
  • https://www.mathnet.ru/eng/ipmp/y2018/p110
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Full-text PDF :69
    References:30
     
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