A Data-Driven Gross Domestic Product Forecasting Model Based on Multi-Indicator Assessment-Reference-Cited by-同舟云学术

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A Data-Driven Gross Domestic Product Forecasting Model Based on Multi-Indicator Assessment

Published:2021 Issue: Volume:9 Page:99495-99503
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wu Xin,Zhang Zhenyuan,Chang Haotian,Huang Qi

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09364968.pdf?arnumber=9364968

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Gross Domestic Product (GDP) using a PC-LSTM-RNN model in urban profiling areas;Computational Urban Science;2024-01-29

2. Quarterly GDP forecast based on coupled economic and energy feature WA-LSTM model;Frontiers in Energy Research;2023-11-23

3. Prediction of macroeconomic variables of Pakistan: Combining classic and artificial network smoothing methods;Journal of Open Innovation: Technology, Market, and Complexity;2023-06

4. The Selection and Analysis on Statistical Beacon in the Electric Power Consumption Field;2023 IEEE 6th International Electrical and Energy Conference (CIEEC);2023-05-12

5. Econometrics and Manufacturing Industries Retail Volumes Forecast;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

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