Information intelligent model of the aquatic ecosystem state identification under the heavy metals influence

Abstract

In this paper the authors have analyzed the heavy metals influence on the ichthyo fauna state and systematized it, classified the aquatic ecosystem states, developed the mathematical model for their identification based on a modified Perceptron, to create a functional and information-logical model of information system to study the heavy metals influence on the living organisms. The article presents the ongoing research in its initial stage. The model using will solve a number of problems of studies of the heavy metals influence on the living organisms in biogeochemical conditions in the Lower Volga region and improving environmental conditions.