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Titlebook: Expert Systems in Production Engineering; Proceedings of the I Georg Menges,Norbert H?velmanns,Erwin Baur Conference proceedings 1987 Sprin

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發(fā)表于 2025-3-21 19:49:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Expert Systems in Production Engineering
副標(biāo)題Proceedings of the I
編輯Georg Menges,Norbert H?velmanns,Erwin Baur
視頻videohttp://file.papertrans.cn/320/319210/319210.mp4
叢書名稱Lecture Notes in Engineering
圖書封面Titlebook: Expert Systems in Production Engineering; Proceedings of the I Georg Menges,Norbert H?velmanns,Erwin Baur Conference proceedings 1987 Sprin
描述The present volume contains edited versions of the communications presented at an International Workshop on "Expert Systems in Production Engineering", held in Spa, Belgium, in 1986. Introductory papers on Artificial Intelligence and Expert Systems are complemented by case studies of Expert Systems in practice, primarily, in the area of Mechanical Engineering and discussions of the possibilities and the limitations of Expert Systems.
出版日期Conference proceedings 1987
關(guān)鍵詞Fuzzy; artificial intelligence; expert system; intelligence; knowledge engineering; knowledge representat
版次1
doihttps://doi.org/10.1007/978-3-642-83126-3
isbn_softcover978-3-540-17927-6
isbn_ebook978-3-642-83126-3Series ISSN 0176-5035
issn_series 0176-5035
copyrightSpringer-Verlag Berlin, Heidelberg 1987
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The Oleophilic Advisor: Knowledge Acquisition, Representation and Control,wettability; its ability to attract oil. The system was developed at Rockwell International Science Center, Thousand Oaks, California, and is based on the expertise of Dr. Martin Kendig. An early release of M.1., a Teknowledge knowledge engineering tool is used as the expert system development shell
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Expert System Environment/VM Applications in Manufacturing,. All these applications use Expert System Environment/VM (ESE/VM), an IBM Program Offering. Most of these systems are prototypes so far. There is no intent at this time to convert these expert system applications into products available outside IBM.
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https://doi.org/10.1007/978-3-642-83126-3Fuzzy; artificial intelligence; expert system; intelligence; knowledge engineering; knowledge representat
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https://doi.org/10.1057/9781137386625tional definition, we shall just mention a number of features of expert systems, which might be accepted by most designers and users of expert systems and which seem to be of relevance with respect to fuzzy sets:
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