Geodesic
Inverse problems of anomalous diffusion theory: the artificial neural network approach
Sibirskij žurnal industrialʹnoj matematiki, Tome 19 (2016) no. 3, pp. 3-14

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We present the results of the computer modeling of the work of a three-layer perceptron trained to solve inverse problems of anomalous diffusion theory. Several types of inverse problems are considered including the recovery of the Hurst exponent of a self-similar medium.
Mots-clés : anomalous diffusion
Keywords: inverse problem, artificial neural network. 
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     author = {A. N. Bondarenko and T. V. Bugueva and V. A. Dedok},
     title = {Inverse problems of anomalous diffusion theory: the artificial neural network approach},
     journal = {Sibirskij \v{z}urnal industrialʹnoj matematiki},
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     publisher = {mathdoc},
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     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJIM_2016_19_3_a0/}
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A. N. Bondarenko; T. V. Bugueva; V. A. Dedok. Inverse problems of anomalous diffusion theory: the artificial neural network approach. Sibirskij žurnal industrialʹnoj matematiki, Tome 19 (2016) no. 3, pp. 3-14. http://geodesic.mathdoc.fr/item/SJIM_2016_19_3_a0/