首页|New Findings from Xi’an Jiaotong University in Machine Learning Provides New Ins ights (Fast Predesign Methodology of Centrifugal Compressor for Pemfcs Combining a Physics-based Loss Model and an Interpretable Machine Learning Method)
New Findings from Xi’an Jiaotong University in Machine Learning Provides New Ins ights (Fast Predesign Methodology of Centrifugal Compressor for Pemfcs Combining a Physics-based Loss Model and an Interpretable Machine Learning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “For boostedhydrogen fuel cells, the centrifugal compressor greatly affects the system’s efficiency, stac k power andcosts. However, the design of the centrifugal compressor is a length y and high-cost process.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXi’an Jiaotong University
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