Ambient Effect Filtering Using NLPCA-SVR in High-Rise Buildings

The modal frequencies of a structure are affected by continuous changes in ambient factors, such as temperature, wind speed etc. This study incorporates nonlinear principal component analysis (NLPCA) with support vector regression (SVR) to build a mathematical model to reflect the correlation betwee...

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Detalles Bibliográficos
Autores principales: Ye, Xijun, Wu, Yingfeng, Zhang, Liwen, Mei, Liu, Zhou, Yunlai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070861/
https://www.ncbi.nlm.nih.gov/pubmed/32093064
http://dx.doi.org/10.3390/s20041143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070861/
https://www.ncbi.nlm.nih.gov/pubmed/32093064
http://dx.doi.org/10.3390/s20041143

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