350 rub
Journal Neurocomputers №9 for 2012 г.
Article in number:
Application of neural network techniques for solving inverse problems of hydrodynamics of rivers
Keywords: Neural network Saint-Venant equations inverse problems Levenberg-Marquardt algorithm hydrological modeling hydrological forecasting regularization
Authors:
P.V. Skribtsov, P.A. Kazantsev, M.A. Chervonenkis
Abstract:
In this paper we consider an approach to combine methods for solving inverse problems of hydrodynamics of rivers and neural network techniques. The result of the research is a hybrid neural network method for solving the restoration of geometric and hydraulic characteristics of river channels. Developed neural network setting goals and learning algorithms of the neural networks. The resulting neural network approximation of the characteristics of the river allows modeling the movement of water in rivers based on direct solution of the Saint-Venant equations.
Pages: 29-34
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