Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network-Reference-Cited by-同舟云学术

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Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

Published:2020-01 Issue: Volume:188 Page:105006
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liu Yishun,Yang Chunhua,Huang Keke,Gui Weihua

Funder

National Natural Science Foundation of China

Innovation-Driven Project of Central South University, China

Fundamental Research Funds for the Central Universities of Central South University, China

111 Project, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. Time-varying effects of international nonferrous metal price shocks on China’s industrial economy;Zhong;Physica A,2019

2. The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis;Wang;Appl. Energy,2018

3. Econometric modelling of non-ferrous metal prices;Watkins;J. Econ. Surv.,2004

4. Forecasting commodity price indexes using macroeconomic and financial predictors;Gargano;Int. J. Forecast.,2014

5. Enhance the performance of network computation by a tunable weighting strategy;Li;IEEE Trans. Emerg. Topics Comput. Intell.,2018

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