Forecasting of the Dnieper River Lower Reach Hydro/chemical Regime with Neuro/techniques Application
This article presents the results of research and practical application of intellectual systems for predicting the hydro/chemical conditions of the Lower Dnieper area through neuro/technologies. Nonlinear multilayer artificial neural networks for the prediction of the main chemical parameters of Lower Dnieper area water have been established for the first time. Optimal parameters of the learning algorithm have been identified, the control sample generalization capability and the prediction reliability with the test set of artificial neural networks have been assessed, and prediction of the hydro/chemical regime up to 2015 has been made.