Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm

Owing to its significance in ensuring structural safety and occupant comfort, wind pressure on buildings has attracted the attention of numerous scholars. However, the characteristics of wind pressures are usually complex. This study employs an unsupervised machine-learning algorithm, clustering alg...

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Vydané v:	Journal of wind engineering and industrial aerodynamics Ročník 214; s. 104629
Hlavní autori:	Kim, Bubryur, Yuvaraj, N., Tse, K.T., Lee, Dong-Eun, Hu, Gang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2021
Predmet:	Clustering algorithms Pattern recognition Pressure pattern Unsupervised learning algorithm Wind pressure Wind tunnel testing Pressure pattern Wind pressure Wind tunnel testing Unsupervised learning algorithm Pattern recognition Clustering algorithms
ISSN:	0167-6105, 1872-8197
On-line prístup:	Získať plný text
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