Classification of stochastic processes based on deep learning

Classification of stochastic processes based on deep learning

Stochastic processes model the time evolution of fluctuation phenomena widely observed in physics, chemistry, biology, and even social science. Typical examples include the dynamics of molecular interactions, cellular signalling, animal feeding, disease transmission, financial market fluctuation, an...

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Bibliographic Details
Main Authors: Shamsan A Al-Murisi, Xiangong Tang, Weihua Deng
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Journal of Physics: Complexity
Subjects:
anomalous diffusion
stochastic processes classification
deep learning
convolutional neural networks
Online Access:https://doi.org/10.1088/2632-072X/ad269a

Internet

https://doi.org/10.1088/2632-072X/ad269a

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