INFLUENCE OF SPACE CHARGE BREAKDOWN ON THE PERFORMANCE OF ELECTROMEMBRANE SYSTEMS
https://doi.org/10.23947/2587-8999-2022-1-2-81-95
Abstract
The article provides an overview of methods for solving problems of forecasting time series and modeling of complex systems using fuzzy cognitive maps (FCM). The main algorithms used in solving practical problems for complex semi-structured systems are listed, which make it possible to improve the accuracy and reliability of simulation results. For completeness of the review, publications of Russian and foreign researchers working in this area have been studied and described. In addition, the main software tools that implement the existing algorithms were listed and their distinctive features for solving various classes of problems were given. This comparison of software packages allows users to deter-mine the optimal system for further theoretical or practical research.
About the Authors
A. V. Petukhova
Universidade Lusófona de Humanidades e Tecnologias
Portugal
Portugal
Alina V. Petukhova, Senior engineer, JohnSnowLabs
Lisbon, 1749-024,
Stavropolskaya st., 149, Krasnodar
A. V. Kovalenko
Kuban State University
Russian Federation
Russian Federation
Anna V. Kovalenko, Dr.Sci. (Eng.), associate professor, Head of the Department of Data Analysis and Artificial Intelligence
Stavropolskaya st., 149, Krasnodar
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For citations:
Petukhova A.V., Kovalenko A.V. INFLUENCE OF SPACE CHARGE BREAKDOWN ON THE PERFORMANCE OF ELECTROMEMBRANE SYSTEMS. Computational Mathematics and Information Technologies. 2022;6(2):81-95. https://doi.org/10.23947/2587-8999-2022-1-2-81-95
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