首页|Findings from Jiangsu University Yields New Data on Machine Learning (Machine Le arning Approaches for Enhancing Energy Efficiency and Stability In Parallel Pump ing Systems)
Findings from Jiangsu University Yields New Data on Machine Learning (Machine Le arning Approaches for Enhancing Energy Efficiency and Stability In Parallel Pump ing Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Jiangsu, People’s Re public of China, by NewsRx editors, research stated, “Pumps areamong the larges t energy consumers, and there is still significant potential for energy savings of 20-30% in pumping systems. To address the issue of poor modelin g accuracy of traditional approaches inpump systems under extreme conditions, t his study employs a machine learning model combined with animproved swarm intel ligence algorithm to optimize the control strategy of a four-pump parallel syste m.”
JiangsuPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningJiangsu University
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