000 | 02052cam a2200229 i 4500 | ||
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020 | _a 9783031279607 | ||
020 | _a 9783031279607 | ||
082 | 0 | 4 | _a670.285/63 |
100 | 1 | _aChen, Tin-Chih Toly | |
245 | 1 | 0 |
_aExplainable artificial intelligence (XAI) in manufacturing : _bmethodology, tools, and applications / _cTin-Chih Toly Chen |
264 | 1 |
_aCham, Switzerland : _bSpringer, _c2023 |
|
300 | _a1 online resource (110 pages) | ||
490 | 1 | _aSpringerBriefs in applied sciences and technology | |
505 | 0 | _aChapter 1: Explainable Artificial Intelligence (XAI) in Manufacturing -- Chapter 2: Applications of XAI for Forecasting in the Manufacturing Domain -- Chapter 3: Applications of XAI for Decision Making in the Manufacturing Domain -- Chapter 4: Applications of XAI to Job Sequencing and Scheduling in Manufacturing | |
520 | _aThis book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry. The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing | ||
650 | 0 | _aArtificial intelligence | |
650 | 0 | _aManufacturing processes | |
856 | 4 | 0 | _uhttps://rave.ohiolink.edu/ebooks/ebc2/9783031279614 |
856 | 4 | 0 | _uhttps://link.springer.com/10.1007/978-3-031-27961-4 |
856 | 4 | 0 | _uhttps://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-27961-4 |
942 |
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_c13995 _d13995 |