Geodesic
Forecasting of Microcystis aeruginosa seasonal dynamics using the fuzzy logic and fuzzy neural networks
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, no. 2 (2012), pp. 5-11 Cet article a éte moissonné depuis la source Math-Net.Ru

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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.
Keywords: M. aeruginosa, аlgae bloom forecasting, quasi-periodic oscillations, linear extrapolation, fuzzy logic, fuzzy artificial neural networks. 
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A. O. Gayazova; S. M. Abdullaev. Forecasting of Microcystis aeruginosa seasonal dynamics using the fuzzy logic and fuzzy neural networks. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, no. 2 (2012), pp. 5-11. http://geodesic.mathdoc.fr/item/VYURV_2012_2_a0/

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