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This article is cited in 3 scientific papers (total in 3 papers)
Mathematical Modeling
Technology of balanced identification for selection of pine transpiration mathematical model
A. V. Sokolova, V. K. Bolondinskyb, V. V. Voloshinova a Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow, Russia
b Forest Research Institute, Karelian Research Centre, RAS, Petrozavodsk, Russia
Abstract:
The application of numerical technology for evaluation the correspondence of a mathematical model and experimental data via the balanced (optimization) identification method is demonstrated with comparing various models of pine transpiration. A quantitative measure of the model evaluation is the cross-validation error. Current implementation of the technology allow the researcher to formulate the computing task in a text file, which contains: mathematical model formulas (including differential and/or integration equations); declarations of parameters and/or functions to be identified; data source (with experimental measurements) and additional settings of the numerical method. As a result, the software package returns unknown parameters, functions, and modeling errors. This technology is successfully used to various models in biology, medicine, physics, etc.
Key words:
mathematical modeling, balanced identification, regularization, distributed computing, Everest platform, pine transpiration.
Received 21.08.2019, 23.12.2019, Published 26.12.2019
Citation:
A. V. Sokolov, V. K. Bolondinsky, V. V. Voloshinov, “Technology of balanced identification for selection of pine transpiration mathematical model”, Mat. Biolog. Bioinform., 14:2 (2019), 665–682
Linking options:
https://www.mathnet.ru/eng/mbb410 https://www.mathnet.ru/eng/mbb/v14/i2/p665
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