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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |