
HYDROLOGICAL MODELING OF WATER FLOW IN THE RIVER USING ARTIFICIAL NEURAL NETWORK
(STEF92 Technology, 2018-06-20, M. Neugebauer)
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Modeling was carried out on the basis of hydrological data from the ?yna River (north-eastern Poland). The length of the river is 264 km, the average river slope is 1.2 ?, the catchment area is 7126 km2. Modeling was based on data on water flows and the amount of precipitation. Neural models were created in which the input data is the amount of rainfall and the output is the flow. The possessed data has been divided into two parts, one of which was used to teach and test ANN, and the other - smaller - to verify th...

