Creation of an artificial intelligence system for analysis of theoretical Current-Voltage Curves

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Trends in Computer Science and Information Technology volume5-issue1 articles
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Submitted: June 9, 2020
Published: Jun 19, 2020
DOI: 10.17352/tcsit.000011
Keywords:
Neural networks, Deep machine learning, Electro-membrane systems, Current-voltage characteristics, Computer simulation

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AV Kovalenko*
Docent, Doctor of Economics, Vice head, Intelligent Information Systems, Kuban State University, Russia
MKh Urtenov
Professor, Doctor of Physics and Mathematics Head, Applied Mathematics, Kuban State University, Russia

Abstract

We have developed the “Deep learning for CVC 0.1” software package, which contains databases and knowledge bases of theoretical Current-Voltage Curve (CVC) using the method of deep machine learning (Deep learning). The developed software package allows you to simulate mass transfer in Electromembrane Systems (EMS), which has a single interface with a built-in help system, analysis and synthesis of current-voltage characteristics. The software package was implemented using the software platform for computer modeling of physical processes COMSOL Multiphysics 5.5 and the application development environment COMSOL Multiphysics Application Builder, Java, Python, using the libraries OpenCV, TensorFlow, Keras.

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Article Details

Kovalenko, A., & Urtenov, M. (2020). Creation of an artificial intelligence system for analysis of theoretical Current-Voltage Curves. Trends in Computer Science and Information Technology, 5(1), 005–007. https://doi.org/10.17352/tcsit.000011
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Copyright (c) 2020 Kovalenko AV, et al.

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Do you use multiphysics simulation for analysis or innovation?. Link: https://bit.ly/2N7wwz9

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