Cite
Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique.
MLA
Hua, X. G., et al. “Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique.” Journal of Computing in Civil Engineering, vol. 21, no. 2, Mar. 2007, pp. 122–35. EBSCOhost, https://doi.org/10.1061/(ASCE)0887-3801(2007)21:2(122).
APA
Hua, X. G., Ni, Y. Q., Ko, J. M., & Wong, K. Y. (2007). Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique. Journal of Computing in Civil Engineering, 21(2), 122–135. https://doi.org/10.1061/(ASCE)0887-3801(2007)21:2(122)
Chicago
Hua, X. G., Y. Q. Ni, J. M. Ko, and K. Y. Wong. 2007. “Modeling of Temperature–Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique.” Journal of Computing in Civil Engineering 21 (2): 122–35. doi:10.1061/(ASCE)0887-3801(2007)21:2(122).