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DOI	10.1088/2632-072X/ad269a
	Classification of stochastic processes based on deep learning
	Al-Murisi, Shamsan A.; Tang, Xiangong; Deng, Weihua
发表日期	2024
EISSN	2632-072X
起始页码	5
结束页码	1
卷号	5 期号:1
英文摘要	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, and climate change. We create three datasets based on the codes obtained from the published article; the first one is for 12 stochastic processes, the second one for the Markov and non-Markov processes, and the third one for the Gaussian and non-Gaussian processes. We do the stochastic process classification by employing a series of convolution neural networks (CNNs), i.e. VGG16, VGG19, AlexNet, and MobileNetV2, achieving the accuracy rates of '99%', '98%', '95%', and '94%' on the first dataset, respectively; in the second dataset, the test accuracy of VGG16 is '100%', and for the rest of the models, it is '99%'; and in the third dataset, the test accuracy of all models is '100%', except the VGG19, which is '99%'. According to the findings, CNNs have slightly higher accuracy than classic feature-based approaches in the majority of circumstances, but at the cost of much longer training periods.
英文关键词	anomalous diffusion; stochastic processes classification; deep learning; convolutional neural networks
语种	英语
WOS研究方向	Mathematics ; Science & Technology - Other Topics ; Physics
WOS类目	Mathematics, Interdisciplinary Applications ; Multidisciplinary Sciences ; Physics, Mathematical
WOS记录号	WOS:001162930300001
来源期刊	JOURNAL OF PHYSICS-COMPLEXITY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/293552
作者单位	Lanzhou University
推荐引用方式 GB/T 7714	Al-Murisi, Shamsan A.,Tang, Xiangong,Deng, Weihua. Classification of stochastic processes based on deep learning[J],2024,5(1).
APA	Al-Murisi, Shamsan A.,Tang, Xiangong,&Deng, Weihua.(2024).Classification of stochastic processes based on deep learning.JOURNAL OF PHYSICS-COMPLEXITY,5(1).
MLA	Al-Murisi, Shamsan A.,et al."Classification of stochastic processes based on deep learning".JOURNAL OF PHYSICS-COMPLEXITY 5.1(2024).