Inverse problems of anomalous diffusion theory: An artificial neural network approach
- Авторы: Bondarenko A.1, Bugueva T.1,2, Dedok V.1
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Учреждения:
- Sobolev Institute of Mathematics
- Novosibirsk State University
- Выпуск: Том 10, № 3 (2016)
- Страницы: 311-321
- Раздел: Article
- URL: https://journals.rcsi.science/1990-4789/article/view/212392
- DOI: https://doi.org/10.1134/S1990478916030017
- ID: 212392
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Аннотация
The results are presented of computer simulation of the operation of a three-layer perceptron trained for solving inverse problems of anomalous diffusion theory. Several types of inverse problems are considered, including the problem of determining the Hurst exponent of a selfsimilar medium.
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Об авторах
A. Bondarenko
Sobolev Institute of Mathematics
Автор, ответственный за переписку.
Email: bondarenkoan1953@mail.ru
Россия, pr. Akad. Koptyuga 4, Novosibirsk, 630090
T. Bugueva
Sobolev Institute of Mathematics; Novosibirsk State University
Email: bondarenkoan1953@mail.ru
Россия, pr. Akad. Koptyuga 4, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090
V. Dedok
Sobolev Institute of Mathematics
Email: bondarenkoan1953@mail.ru
Россия, pr. Akad. Koptyuga 4, Novosibirsk, 630090