憎恶
发表于 2025-3-27 00:07:32
Assessment of Selected Tools Used for Knowledge Extraction in Industrial Manufacturingably poorer in several important aspects, compared to Rough Sets Theory, particularly when not only a characterization of a problem is required, but also detailed and precise rules are needed, according to actual, specific problems to be solved.
remission
发表于 2025-3-27 01:30:31
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Traumatic-Grief
发表于 2025-3-27 07:32:00
Przemyslaw Grzegorzewski,Andrzej Kochanski,Janusz Discusses the problems of industrial data and it overall complexity, as well as methods of dealing with preparing this type of data for reasoning in the engineering practice.Presents a wide spectrum o
健谈
发表于 2025-3-27 09:59:35
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我要威胁
发表于 2025-3-27 15:56:29
https://doi.org/10.1007/978-3-030-03201-2Soft Modeling; Data Science; Industrial Manufacturing; Data Mining; Qualitc control
细丝
发表于 2025-3-27 20:47:32
Springer Nature Switzerland AG 2019
reptile
发表于 2025-3-28 01:31:33
Soft Modeling in Industrial Manufacturing978-3-030-03201-2Series ISSN 2198-4182 Series E-ISSN 2198-4190
Asperity
发表于 2025-3-28 05:49:24
Tool Condition Monitoring in Metal Cuttingh tool wear, should be automatically selected. The information extracted from one or several sensors’ signals has to be combined into one tool condition estimation. This can be achieved by various artificial intelligence methods.
锡箔纸
发表于 2025-3-28 08:45:14
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Commodious
发表于 2025-3-28 12:52:35
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