Corrigendum to “Short-term high-speed rail passenger flow prediction by integrating ensemble empirical mode decomposition with multivariate grey support vector machine” [Eng. Appl. Art. Intellig. 136PB (2024) 109005]

IF 8 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Engineering Applications of Artificial Intelligence Pub Date : 2024-11-01 Epub Date: 2024-09-05 DOI:10.1016/j.engappai.2024.109080
Yujie Yuan , Xiushan Jiang , Pei Zhang , Chun Sing Lai
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对 "集合经验模式分解与多元灰色支持向量机相结合的短期高铁客流预测 "的更正 [Eng. Appl. Art. Intellig. 136PB (2024) 109005]
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来源期刊
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
9.60
自引率
10.00%
发文量
505
审稿时长
68 days
期刊介绍: Artificial Intelligence (AI) is pivotal in driving the fourth industrial revolution, witnessing remarkable advancements across various machine learning methodologies. AI techniques have become indispensable tools for practicing engineers, enabling them to tackle previously insurmountable challenges. Engineering Applications of Artificial Intelligence serves as a global platform for the swift dissemination of research elucidating the practical application of AI methods across all engineering disciplines. Submitted papers are expected to present novel aspects of AI utilized in real-world engineering applications, validated using publicly available datasets to ensure the replicability of research outcomes. Join us in exploring the transformative potential of AI in engineering.
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