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Measurement Method and Application of a Deep Learning Digital Economy Scale Based on a Big Data Cloud Platform

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成果类型:
期刊论文
作者:
Zhao, Yanmei;Zhou, Yixin
作者机构:
[Zhao, Yanmei] Northeast Normal Univ, Changchun, Peoples R China.
[Zhao, Yanmei] ChangChun Finance Coll, Sch Econ Management, Changchun, Peoples R China.
[Zhou, Yixin] Shanghai Business Sch, Sch Business Econ, Shanghai, Peoples R China.
语种:
英文
关键词:
Big Data;Cloud Platform;Deep Learning;Digital Economy;Scale Measurement Method
期刊:
Journal of Organizational and End User Computing
ISSN:
1546-2234
年:
2022
卷:
34
期:
3
页码:
1-17
基金类别:
China's National Social Science Research Grant project: Statistical Research on the Law of International Linkage of China's Business Cycle [16BTJ025]; Research on the Construction Path and Evaluation Mechanism of College Double Innovation Education Ecosystem, Key Research Projects of Higher Education in Jilin Province [JGJX2020C108]; 2020 Shanghai Philosophy and Social Science Youth Project: Shanghai's producer service industry global value chain supply chain status assessment and promotion optimization research [2020EJB013]; Research on high quality development of manufacturing industry in Jilin Province,Key projects of Jilin Province Social Science Foundation Projects in 2021
机构署名:
本校为其他机构
摘要:
In recent years, with the acceleration of the process of economic globalization and the deepening of China's financial liberalization, the scale of international short-term capital flows has been extremely rapid. This article mainly studies the deep learning digital economy scale measurement method and its application based on the big data cloud platform. This article uses the indirect method to estimate the stock of renminbi circulating abroad. The results show that the application of big data cloud platforms can increase the development share of digital media and digital transactions in the ...

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