首页|Findings from Changsha University of Science and Technology Yields New Findings on Machine Learning (Prediction of Wind Load Power Spectrum On High-rise Buildin gs By Various Machine Learning Algorithms)
Findings from Changsha University of Science and Technology Yields New Findings on Machine Learning (Prediction of Wind Load Power Spectrum On High-rise Buildin gs By Various Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Hunan, People’s Republic of Ch ina, by NewsRx journalists, research stated, “To evaluate the suitability of mac hine learning algorithms in predicting wind effects on high-rise buildings, this study investigates the prediction of wind load power spectrum for the CAARC sta ndard model of high-rise buildings using various machine learning algorithms. Th e inputs of the machine learning model include turbulence intensity, wind direct ion and reduced frequency.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Hunan Province, Civil Engineer -ing Key Discipline of Changsha University of Science and Technology.
HunanPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChangsha Universi ty of Science and Technology
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