首页|Researchers from Xiamen University Report Recent Findings in Machine Learning (A pplication of Physics-informed Machine Learning for Excavator Working Resistance Modeling)

Researchers from Xiamen University Report Recent Findings in Machine Learning (A pplication of Physics-informed Machine Learning for Excavator Working Resistance Modeling)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Xiamen, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate m easurement of the working resistance encountered during excavation plays a vital role in improving production efficiency, reducing energy consumption, and enabl ing intelligent capabilities in excavators. To address the challenges of the ina ccurate measurement of working resistance, we present a novel method for measuri ng excavator working resistance based on physics-informed machine learning (PIML ).”

XiamenPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXiamen University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.20)