人工智能与质量技术统计:特刊导论

IF 2.6 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
B. Colosimo, Enrique del Castillo, L. A. Jones‐Farmer, K. Paynabar
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引用次数: 9

摘要

在许多应用和工业环境中,使用人工智能(AI)进行质量技术越来越受到关注。人工智能指的是一系列广泛的技术,这些技术可以复制人类解决问题的认知和分析技能,包括机器学习、神经网络和深度学习。本文简要介绍了这一特殊问题,其中提出了基于人工智能的解决方案,以解决质量技术领域通常面临的问题。简要讨论了基于人工智能的解决方案的局限性和优势,以激发对新解决方案和未来研究新方向的创造性关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence and statistics for quality technology: an introduction to the special issue
Abstract In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality technology is gaining growing attention. AI refers to the broad set of techniques which replicate human cognitive and analytical skills for problem solving, including Machine Learning, Neural Networks and Deep Learning. This paper presents a brief introduction to the special issue, where AI-based solutions are presented to solve problems that are typically faced in the area of quality technology. Limits and advantages of AI-based solutions are briefly discussed to stimulate creative attention to novel solutions and new directions for future research.
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来源期刊
Journal of Quality Technology
Journal of Quality Technology 管理科学-工程:工业
CiteScore
5.20
自引率
4.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: The objective of Journal of Quality Technology is to contribute to the technical advancement of the field of quality technology by publishing papers that emphasize the practical applicability of new techniques, instructive examples of the operation of existing techniques and results of historical researches. Expository, review, and tutorial papers are also acceptable if they are written in a style suitable for practicing engineers. Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days
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