首页|South China University of Technology Researcher Provides New Insights into Machi ne Learning (Prediction Method for Mechanical Characteristic Parameters of Weak Components of 110 kV Transmission Tower under Ice-Covered Condition Based on Fin ite ...)
South China University of Technology Researcher Provides New Insights into Machi ne Learning (Prediction Method for Mechanical Characteristic Parameters of Weak Components of 110 kV Transmission Tower under Ice-Covered Condition Based on Fin ite ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting from Guangzhou, People's Re public of China, by NewsRx journalists, research stated, "Icing on transmission lines may cause damage to tower components and even lead to structural failure. Aiming at the lack of research on predicting mechanical characteristic parameter s of weak components of transmission towers, and the cumbersome steps of buildin g a finite element model (FEM), the study of prediction for mechanical character istic parameters of weak components of towers based on a finite element simulati on and machine learning is proposed."
South China University of TechnologyGu angzhouPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachi ne Learning
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