首页|Studies from University of Transport and Communications in the Area of Machine L earning Published (Application of two machine learning algorithms for predicting bridge vertical deflection)
Studies from University of Transport and Communications in the Area of Machine L earning Published (Application of two machine learning algorithms for predicting bridge vertical deflection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Researchers detail new data in artificial intelli gence. According to news reporting out of Hanoi, Vietnam, by NewsRx editors, res earch stated, “Machine learning (ML) is being increasingly used to ease structur al health monitoring and management of bridges.” The news reporters obtained a quote from the research from University of Transpo rt and Communications: “Therefore, the main objective of this study is to apply two state-of-the-art machine learning (ML) algorithms, namely Locally weighted l earning (LWL) and K-Star, for the prediction of Vertical Deflection of composite bridges. To accomplish the objective, 83 track loading tests were carried out a t various bridges located in Vietnam and deflection data was collected for model s’ development. Model’s validation and comparison were carried out using differe nt popular methods, namely MAE, RMSE, and R on both training (70%) and validation (30%) datasets. The results of this study indicate t hat the K-Star algorithm outperforms LWL in predicting the vertical deflection o f composite bridges.”
University of Transport and Communicatio nsHanoiVietnamAsiaAlgorithmsCyborgsEmerging TechnologiesMachine Le arning
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