Combining KPCA with LSSVM for the mooney-viscosity forecasting

Proceedings - 2nd International Conference on Genetic and Evolutionary Computing, WGEC 2008

Volumn , Issue , 2008, Pages 522-526

  Liu, Mei ^a,b   Huang, Daoping ^b   Sun, Zonghai ^b   Chen, Zhengshi ^a  

^a MAOMING UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BUTADIENE; CURVE FITTING; FORECASTING; PRINCIPAL COMPONENT ANALYSIS; STYRENE; SUPPORT VECTOR MACHINES;

GENERALIZATION ABILITIES; KERNEL METHODS; KERNEL PCA; LEARNING SPEEDS; LEAST SQUARES SUPPORT VECTOR MACHINES; LINEAR FEATURE EXTRACTIONS; MODEL-BASED; NONLINEAR PCA; NONLINEAR RELATIONSHIPS; PRINCIPAL COMPONENTS ANALYSES; ROOT MEAN SQUARE ERRORS; SOFT SENSORS; STYRENE BUTADIENE RUBBERS;

FEATURE EXTRACTION;

EID: 56349151772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WGEC.2008.33     Document Type: Conference Paper

References (8)

1. J. A. K Suykens, "Nonlinear modeling and support vector machines", Proceeding of IEEE Instrumentation and measurement technology, Budapest, 2001-05,pp.287 - 294.
2. J.A.K Suykens. and J.V andewalle, "Least squares support vector machine classifiers". Neural Processing Letters, Vol. 9, No. 3, 1999, pp.293-300.
3. Yuancheng Li, Zhongqiang Wang, "An Intrusion Detection Method Based on SVM and KPCA", Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, 2007-11, pp.1462-1466
4. Xianhua Jiang, Robert R. Snapp, Yuichi Motai, "Accelerated Kernel Feature Analysis", Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
5. J.A.K. Suykens and J.V andewalle , "Least squares support vector machine classifiers". Neural Processing Letters, Vol. 9, No. 3, 1999, pp.293-300.
6. Li Zhen, Soft Sensor of Mooney-viscosity of Styrene Butadiene Rubber. South China University of Technology, Guangzhou,2004.
7. Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe, "An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection", Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, 2007.
8. Huang Huiwen, Partial Least-Squares Regression-Method and Applications. Defense Industry Press, Beijing, 1999.