Correction to “Short-Term Wind Speed Prediction Model Based on Hybrid Decomposition Method and Deep Learning”

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

Abstract

X. Yuan, F. Hu, and Z. Zhu, “Short-Term Wind Speed Prediction Model Based on Hybrid Decomposition Method and Deep Learning,” Computational Intelligence 41 (2025): e70078, https://doi.org/10.1111/coin.70078.

In the paper by Yuan and Zhu et al. (2025), the affiliation address “School of Electronic Engineering, Hunan College of Information, Xiangtan, China” of Xueqiong Yuan was incorrect. This should have read: “School of Electronic Engineering, Hunan College of Information, Changsha, China” (Xiangtan has been changed to Changsha).

对“基于混合分解和深度学习的短期风速预测模型”的修正
袁晓霞,胡峰,朱忠,“基于混合分解方法和深度学习的短期风速预测模型”,《计算智能》41 (2025):e70078, https://doi.org/10.1111/coin.70078.In袁雪琼等人(2025)的论文,所属地址“湘潭湖南信息学院电子工程学院”不正确。这应该是:“湖南信息学院电子工程学院,长沙,中国”(湘潭已改为长沙)。
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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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