CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
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Read | Yurechko Marina А., Shikulskaya Olga M. // Caspian journal : management and high technologies. — 2012. — №2. — pp. 85-93. |
Yurechko Marina А. - postgraduate student, Astrakhan State University, 414056, Russia, Astrakhan, 20a, Tatishchev st., marinanamore@bk.ru.
Shikulskaya Olga M. - Ph.D. (Engineering), Professor, Astrakhan State University, 414056, Russia, Astrakhan, 20a, Tatishchev st., shikul@mail.ru
The increase in concentration of heavy metals in waters of Volga-Caspian region is reflected in a physiological condition of fishes and as consequence leads to decrease in number of valuable breeds. The Astrakhan scientists in the course of biogeochemical structure of the Bottom Volga pool waters research receive great volumes of experimental data. However complexity of the account of all factors variety influence on fish fauna, necessity of carrying out of expensive natural experiments do actual a problem of mathematical and computer modelling of heavy metals influence on live organisms in biogeochemical conditions of the Bottom Volga. On the basis of the subject domain analysis authors systematise the factors influencing a condition fish fauna, conditions of a water ecosystem are classified, the mathematical model is developed for their identification on the basis of modified perceptron, qualitative and quantitative input parametres of system are defined, functional and information-logical models of information system are developed for research of heavy metals influence on live organisms for the purpose of the problem-focused software creation. Practical application of the software developed by authors on the basis of the offered modernised model perceptron will allow to solve a number of problems on studying of heavy metals influence on live organisms in biogeochemical conditions of the Bottom Volga and to improvement of ecological conditions, and also considerably to lower expenses for carrying out of researches at the expense of natural experiments quantity reduction.
Key words: buffer zone,modeling,perceptron,artificial intelligence,identification,biogeochemical conditions,ecosystem,heavy metals