Extracting model parameters from experimental data using the minimum information principle |
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Authors: | A. V. Chizhov |
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Affiliation: | (1) Ioffe Physicotechnical Institute, Russian Academy of Sciences, ul. Politekhnicheskaya 26, St. Petersburg, 194021, Russia |
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Abstract: | A method is described for extracting model parameters of a physical process from statistical experimental data based on the minimum information principle. Potentialities of the method are studied by examples of regular and chaotic processes simulated by the transport and diffusion equation and by the logistic mapping. |
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