Determination of the initial guess for the problem of memristor model parameters extraction using machine learning algorithms
https://doi.org/10.17073/1609-3577-2021-2-97-101
Abstract
The focus of this work is on the algorithm of extraction of parameters of the memristor model from the experimentally obtained current-voltage characteristics. The problem of finding the initial guess for this algorithm based on current-voltage characteristic features is stated and solved by means of machine learning algorithms.
About the Authors
E. S. Shamin
Moscow Institute of Physics and Technology (National Research University);
Molecular Electronics Research Institute, JSC
Russian Federation
Russian Federation
9 Institutskiy Lane, Dolgoprudny, Moscow Region, 141701;
6-1 Acad. Valieva Str., Moscow, Zelenograd 124460
Evgeniy S. Shamin — Researcher (1), Postgraduate Student (2)
D. A. Zhevnenko
Moscow Institute of Physics and Technology (National Research University);
Molecular Electronics Research Institute, JSC
Russian Federation
Russian Federation
9 Institutskiy Lane, Dolgoprudny, Moscow Region, 141701;
6-1 Acad. Valieva Str., Moscow, Zelenograd 124460
Dmitriy A. Zhevnenko
F. P. Meshchaninov
Moscow Institute of Physics and Technology (National Research University);
Molecular Electronics Research Institute, JSC
Russian Federation
Russian Federation
9 Institutskiy Lane, Dolgoprudny, Moscow Region, 141701;
6-1 Acad. Valieva Str., Moscow, Zelenograd 124460
Fedor P. Meshchaninov
V. S. Kozhevnikov
Moscow Institute of Physics and Technology (National Research University);
Molecular Electronics Research Institute, JSC
Russian Federation
Russian Federation
9 Institutskiy Lane, Dolgoprudny, Moscow Region, 141701;
6-1 Acad. Valieva Str., Moscow, Zelenograd 124460
Vladislav S. Kozhevnikov
E. S. Gornev
Moscow Institute of Physics and Technology (National Research University);
Molecular Electronics Research Institute, JSC
Russian Federation
Russian Federation
9 Institutskiy Lane, Dolgoprudny, Moscow Region, 141701;
6-1 Acad. Valieva Str., Moscow, Zelenograd 124460
Evgeniy S. Gornev — Corresponding Member of the Russian Academy of Sciences, Dr.Sci. (Eng.), Professor (1), Deputy Head of Priority Technology Direction — Head of Department (2)
References
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Review
For citations:
Shamin E.S., Zhevnenko D.A., Meshchaninov F.P., Kozhevnikov V.S., Gornev E.S. Determination of the initial guess for the problem of memristor model parameters extraction using machine learning algorithms. Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki = Materials of Electronics Engineering. 2021;24(2):97-101. (In Russ.) https://doi.org/10.17073/1609-3577-2021-2-97-101
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