Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach-Reference-Cited by-同舟云学术

Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach

Author:

Ke Huang¹,Zuominyang Zhang²,Qiumei Li³^ORCID,Yin Luo⁴

Affiliation:

1. College of Digital Economics, Nanning University, Nanning, China

2. China—U.K. Blockchain Industrial Technology Research Institute, Guangxi University, Nanning, China

3. School of Business Administration, Guangxi University of Finance and Economics, Nanning, China

4. School of Information Engineering, Liuzhou Vocational and Technical College, Liuzhou, China

Funder

National Natural Science Foundation of China

Guangxi University Young and Middle-Aged Teachers Research Basic Ability Improvement Project

Guangxi Philosophy and Social Science Planning Research Project

Guangxi First-Class Discipline Applied Economics Construction

Guangxi Big Data Analysis of Taxation Research Center of Engineering Construction Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference50 articles.

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