{"title":"Correction to “Short-Term Wind Speed Prediction Model Based on Hybrid Decomposition Method and Deep Learning”","authors":"","doi":"10.1111/coin.70100","DOIUrl":null,"url":null,"abstract":"<p>X. Yuan, F. Hu, and Z. Zhu, “Short-Term Wind Speed Prediction Model Based on Hybrid Decomposition Method and Deep Learning,” <i>Computational Intelligence</i> 41 (2025): e70078, https://doi.org/10.1111/coin.70078.</p><p>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).</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70100","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Intelligence","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/coin.70100","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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).
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.