Application of adaptive neural network models to the problems of underground hydrodynamics
G.I. Kazakevich1, L.V Klochkova2, J.A. Poveschenko3, V.F. Tishkin4
| Annotation | We consider the possibility of joint use of the method of support operators and neural network modeling to build an effective technique to address a number of inverse problems of underground hydrodynamics. |
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| Keywords | supporting operators, neural network modeling, inverse problems of underground hydrodynamics. |
1Senior Researcher of the Institute of oceanology by name P.P.Shirshov of RAS, Moscow; gkazakevich@yandex.ru.
2Senior Researcher of the Institute of applied mathematics by name M.V.Keldysh of RAS, Moscow; klud@imamod.ru.
3Senior Researcher Officer of the Institute of applied mathematics by name M.V.Keldysh of RAS, Moscow; poveshchenko@keldysh.ru.
4Deputy Director of the Institute of applied mathematics by name M.V.Keldysh of RAS, Moscow; tishkin@imamod.ru.
Citation: G.I. Kazakevich, L.V Klochkova, J.A. Poveschenko, V.F. Tishkin, "[Application of adaptive neural network models to the problems of underground hydrodynamics]", Zhurnal Srednevolzhskogo matematicheskogo obshchestva,13:3 (2011) 8–14 (In Russian)
