首页|New Intelligent Systems Study Findings Have Been Reported from School of Intelli gent Manufacturing (Association rules combined fuzzy decision quality control te chnology in intelligent manufacturing)
New Intelligent Systems Study Findings Have Been Reported from School of Intelli gent Manufacturing (Association rules combined fuzzy decision quality control te chnology in intelligent manufacturing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on intelligent systems are presented i n a new report. According to news originating from the School of Intelligent Man ufacturing by NewsRx editors, the research stated, "In the context of the rapid development of intelligent manufacturing, effective quality control has become t he key to improving manufacturing efficiency and product quality. Traditional qu ality control methods are often inadequate when faced with complex production da ta and changing manufacturing environments." Our news reporters obtained a quote from the research from School of Intelligent Manufacturing: "Therefore, exploring new intelligent quality control technologi es to cope with these challenges in intelligent manufacturing has become an impo rtant research direction. In view of this, the study proposed a quality control technology that combines association rules and fuzzy decision-making. Firstly, a ssociation rule mining methods are used to analyze production data and extract t he relationships between key quality factors. Secondly, based on these associati on rules, fuzzy decision technology is used to adjust and optimize the productio n process, ultimately achieving quality control of products in the intelligent m anufacturing production process. The data showed that when running on the traini ng set and validation set, the research method reached a stable state at 18 and 46 iterations of the system, respectively, with a minimum cost loss function val ue. In both batch production lines, the detection efficiency under the operation of the research method remained at 2200 units per minute. During the process of repeating the system for 6 times, the research method consistently achieved max imum control accuracy and minimum time consumption."
School of Intelligent ManufacturingFuz zy LogicIntelligent SystemsMachine LearningTechnology
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