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JOURNALS // Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva // Archive

Zhurnal SVMO, 2011, Volume 13, Number 3, Pages 8–14 (Mi svmo253)

Application of adaptive neural network models to the problems of underground hydrodynamics

G. I. Kazakevicha, L. V. Klochkovab, Yu. A. Poveschenkob, V. F. Tishkinb

a P. P. Shirshov institute of Oceanology of RAS
b M. V. Keldysh Institute for Applied Mathematics, Russian Academy of Sciences, Moscow

Abstract: 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.

Keywords: Supporting operators, neural network modeling, inverse problems of underground hydrodynamics.

UDC: 51.7:532.546

Received: 02.12.2011



© Steklov Math. Inst. of RAS, 2024