用于工业过程预测建模和关键样本分析的数据模式相关可解释变压器网络 "的更正

IF 11.7 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Industrial Informatics Pub Date : 2025-04-04 DOI:10.1109/TII.2024.3402788

Diju Liu;Yalin Wang;Chenliang Liu;Xiaofeng Yuan;Chunhua Yang;Weihua Gui

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引用次数: 0

摘要

在b[1]中，为了维护出版物的完整性和维护学术标准，请对已发现的错误进行更正。文章中的图12是图13的复制品，这是由于在稿件准备的最后阶段的一个疏忽造成的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Corrections to “Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes”

In [1], to maintain the integrity of the publication and uphold academic standards, a correction is requested for an identified error. Fig. 12 in the article is a duplicate of Fig. 13 due to an inadvertent mistake during the final stages of manuscript preparation.

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来源期刊

IEEE Transactions on Industrial Informatics 工程技术-工程：工业

CiteScore

24.10

自引率

8.90%

发文量

1202

审稿时长

5.1 months

期刊介绍： The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.