首页|Findings from Sichuan University in the Area of Machine Learning Described (A No vel Deformation Monitoring Model for High Arch Dams Using Impulse Response-based Equivalent Temperature and Machine Learning-aided Separate Modeling)
Findings from Sichuan University in the Area of Machine Learning Described (A No vel Deformation Monitoring Model for High Arch Dams Using Impulse Response-based Equivalent Temperature and Machine Learning-aided Separate Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Chengdu, People’s R epublic of China, by NewsRx correspondents, research stated, “The anatomy of ser vice status through health monitoring models is essential to long-term structura l safety. Since deformation is the intuitive representation of the dam’s operati ng condition, it is crucial to investigate the deformation monitoring model with high accuracy and strong interpretability for the safety management of high arc h dams.” Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), Fundament al Research Funds for the Central Universities, Key Research Program of Sichuan Province.
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSichuan University
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