Using artificial neural networks to solve problems of channel flow interpolation (on the example of the Kazanka river)

Authors

  • Vsevolod S. Valiev Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences
  • Dmitrii V. Ivanov Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences
  • Asiya T. Gorschkova Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences
  • Olga N. Urbanova Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences
  • Irina V. Mustakimova Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences

DOI:

https://doi.org/10.24852/2411-7374.2023.2.45.48

Keywords:

river flow, modeling, water costs, neural networks, Kazanka river

Abstract

The possibilities of using an artificial neural network based on the multilayer perceptron paradigm for interpolating the values ​​of channel water discharges along the length of the Kazanka River are analyzed. The experiment demonstrated the high efficiency of the obtained neural network model, which turned out to be more accurate than linear and polynomial approximators traditionally used to solve such problems. The resulting model can be used in assessing the normatively permissible discharges in any part of the river

References

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Kruglov V.V., Borisov V.V. Iskusstvennye nejronnye seti. Teoriya i praktika [Artificial neural networks. Theory and practice]. Moscow: Hotline-Telecom, 2002. 382 p.

Khaikin S. Nejronnye seti: polnyj kurs [Neural networks: a complete course]. Moscow: Williams, 2006. 1104 p.

Yasnitsky L.N. Vvedenie v iskusstvennyj intellekt [Introduction to artificial intelligence]. Moscow: Publishing Center «Academy», 2008. 176 p.

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Published

2023-06-26

How to Cite

Valiev, V. S., Ivanov, D. V., Gorschkova, A. T., Urbanova, O. N., & Mustakimova, I. V. (2023). Using artificial neural networks to solve problems of channel flow interpolation (on the example of the Kazanka river). Russian Journal of Applied Ecology, (2), 45–48. https://doi.org/10.24852/2411-7374.2023.2.45.48

Issue

No. 2 (2023)

Section

Land hydrology, water resources, hydrochemistry

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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