Publication Date:
2018-12-16
Description:
In this paper the authors have analyzed the heavy metals influence on the ichthyofauna state and systematized it, classified the aquatic ecosystem states, developed the model for their identification based on a modified Perceptron. A cognitive analysis of the factors of the influence of heavy metals on the aquatic ecosystem is performed. A special software has been developed. The model and software using solves 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 and also considerably lowering the costs associated with the research conduct due to the reduction of the number of natural experiments.
Print ISSN:
1757-8981
Electronic ISSN:
1757-899X
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics