[1]
DONG Yu-cai, HE Guo-liang. The Fault Diagnose of Advanced Amphibious Assault Vehicle Fan Pump Based on Partial Least Square Method, J, Equipment Manufacturing Technology, 6(2010), 1-3.
Google Scholar
[2]
ZHANG Xiao-ping, LIU Gui-xiong, ZHOU Song-bin. Target localization based on LSSVR in wireless sensor networks, J. Optics and Precision Engineering, 2010, 18(2010), 2060-(2068).
Google Scholar
[3]
LI Bo, GU Chong-shi, LI Zhi-lu, ZHANG Zhen-zhen, Monitoring model for dam seepage based on partial least-squares regression and partial least square support vector machine, J. Journal of Hydraulic Engineering, 39(2008), 1390-1394, 1400.
DOI: 10.1007/978-3-540-89465-0_316
Google Scholar
[4]
SUN Lin, YANG Shi-yuan, WU De-hui, Prediction model for city water resources carrying capacity based on least squares support vector machine, J. Water Sciences and Engineering Technology, B10(2008), 34-37.
Google Scholar
[5]
PANG Ming-bao, XIE Ling, HAO Ran, MA Ning, Predicting into Regional Logistics Volume Based on Partial Least-squares Support Vector Machines Regression, J. Journal of Hebei University of Technology, 37(2008), 91-96.
Google Scholar
[6]
BAI Mao-jin, CHEN Gang, LIU Qing, ZHANG Zuo-peng, ZHANG Xue-jun, A new method of transient stability forecasting based on LS-SVR, J. Power System Protection and Control, 36(2008), 9-14.
Google Scholar
[7]
XU Hong-zhong, YANG Lei, Prediction foundation pit deformation based on least squar support vector machine regression, J. Journal of Nanjing University of Technology, 29(2007):21-24.
Google Scholar
[8]
LIU De-di, CHEN Xiao-hong, Model for Prediction of Saltwater Intrusions Based on Coupling of Support Vector Machine and Partial Least Square Method, J. Acta Scientiarum Naturalium Universitatis Sunyatseni, 46(2007), 89-92.
Google Scholar
[9]
WANG Yong-sheng, LIU Wei-hua, YANG Li-bin, SUN Yang, Research on the Prediction of the Chaotic Time Series Based on Lease Square Support Vector Machine, J. Journal of Naval Aeronautical Engineering Institut, 24(2009):283-288.
Google Scholar