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Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field

by Wei-Chiang Hong1,*, Yi Liang2

1 Department of Information Management, Asia Eastern University of Science and Technology, New Taipei, 22061, Taiwan
2 School of Management, Hebei GEO University, Shijiazhuang, 050031, China

* Corresponding Author: Wei-Chiang Hong. Email: email

(This article belongs to the Special Issue: Hybrid Intelligent Methods for Forecasting in Resources and Energy Field)

Computer Modeling in Engineering & Sciences 2023, 134(2), 763-766. https://doi.org/10.32604/cmes.2022.023022

Abstract

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Cite This Article

APA Style
Hong, W., Liang, Y. (2023). Introduction to the special issue on hybrid intelligent methods for forecasting in resources and energy field. Computer Modeling in Engineering & Sciences, 134(2), 763-766. https://doi.org/10.32604/cmes.2022.023022
Vancouver Style
Hong W, Liang Y. Introduction to the special issue on hybrid intelligent methods for forecasting in resources and energy field. Comput Model Eng Sci. 2023;134(2):763-766 https://doi.org/10.32604/cmes.2022.023022
IEEE Style
W. Hong and Y. Liang, “Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field,” Comput. Model. Eng. Sci., vol. 134, no. 2, pp. 763-766, 2023. https://doi.org/10.32604/cmes.2022.023022



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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