Forecasting of Microcystis aeruginosa seasonal dynamics using the fuzzy logic and fuzzy neural networks

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At determination of coefficient of the hydraulic conductivity of oil layer by the method of the hydrodynamic listening of mining holes there is a need for solving the inverse task of filtration. It is thus important to set the task so that to provide the uniqueness of the decision. In this article are defined the conditions which are sufficient for the uniqueness of the inverse problem.

M. aeruginosa, аlgae bloom forecasting, quasi-periodic oscillations, linear extrapolation, fuzzy logic, fuzzy artificial neural networks

Короткий адрес: https://sciup.org/147160472

IDR: 147160472

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