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Fractional Dynamics Identification via Intelligent Unpacking of the Sample Autocovariance Function by Neural Networks

Many single-particle tracking data related to the motion in crowded environments exhibit anomalous diffusion behavior. This phenomenon can be described by different theoretical models. In this paper, fractional Brownian motion (FBM) was examined as the exemplary Gaussian process with fractional dyna...

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Principais autores: Dawid Szarek, Grzegorz Sikora, Michał Balcerek, Ireneusz Jabłoński, Agnieszka Wyłomańska
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2020-11-01
Serier:Entropy
Fag:
anomalous diffusion
fractional Brownian motion
estimation
autocovariance function
neural network
Monte Carlo simulations
Online adgang:https://www.mdpi.com/1099-4300/22/11/1322
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