Forecasting chaotic processes in hydroecological systems on the basis of attractors conception and neural networks approach: Application

Authors: O.Yu.Khetselius

Year: 2014

Issue: 15

Pages: 16-21

Abstract

It is proposed a new approach to non-linear modeling and forecasting chaotic processes in hydroecological systems, which is based on the conception of compact geometrical attractor and neural networks (artificial intellect) algorithms. As an illustrative example of using the method, the dynamics of the nitrates concentrations in the Small Carpathians river’s watersheds in the Earthen Slovakia during 1969-1996 years is predicted.

Tags: attractor conception; chaotic processes; forecasting; hydroecological systems; neural networks algorithm

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