首页|Nanjing University Researchers Discuss Findings in Machine Learning (Machine Lea rning for Real-Time Building Outdoor Wind Environment Prediction Framework in Pr eliminary Design: Taking Xinjiekou Area of Nanjing, China as the Case)
Nanjing University Researchers Discuss Findings in Machine Learning (Machine Lea rning for Real-Time Building Outdoor Wind Environment Prediction Framework in Pr eliminary Design: Taking Xinjiekou Area of Nanjing, China as the Case)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “The incorporation of ph ysical environmental performance as a primary consideration in building design c an facilitate the harmonization of the built environment with the surrounding si te and climate, enhance the building’s environmental adaptability and environmen tal friendliness, and contribute to the achievement of energy-saving and emissio n-reduction objectives through the integration of natural lighting and ventilati on. General computational fluid dynamics (CFD) can help architects make accurate predictions and effectively control the building’s wind environment.”
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