Comparative assessment of methods for forecasting river runoff with different conditions of organization

Abstract

The article presents the results of comparative analysis of application of traditional statistical methods and non linear multilayer neural networks for processing multi year data of the river runoff with the aim of its forecasting. The obtained in the work optimal parameters for learning predictive neural networks are recommended ed for learning transformation and forecast of river runoff in the situation of permenant anthropogenic influence on basin