Problems of neural network and regression forecasting the river flood level

Shamsutdinova T.M., Ph.D. of Physico-mathematical Sciences, Docent
FSBEI HE Bashkir State Agrarian University

The article is about the development of neural network and regression models for predicting river floods. In particular, a range of problems related to hydrometeorological support for forecasting a flood situation is considered, and issues of its implementation are discussed. An example of creating regression and neural network models for forecasting the level of the Belaya (Agidel) river is given.

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