Inverse problems of anomalous diffusion theory: An artificial neural network approach


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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.

作者简介

A. Bondarenko

Sobolev Institute of Mathematics

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Email: bondarenkoan1953@mail.ru
俄罗斯联邦, pr. Akad. Koptyuga 4, Novosibirsk, 630090

T. Bugueva

Sobolev Institute of Mathematics; Novosibirsk State University

Email: bondarenkoan1953@mail.ru
俄罗斯联邦, pr. Akad. Koptyuga 4, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

V. Dedok

Sobolev Institute of Mathematics

Email: bondarenkoan1953@mail.ru
俄罗斯联邦, pr. Akad. Koptyuga 4, Novosibirsk, 630090

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