[1] Deng Xiao-ying,Li Yue. Support Vector Regression Based on Ricker Wavelet Kernel Function and Its Application to Seismic Prospecting Data Denoising. [J] Journal of Jilin University(Earth Science Edition), 2007,37(4):821-827.

[2]Yan Gen-ting,Li Chuan-jiang,Ma Guang-fu. Support Vector classifiers ensemble based on fuzzy integral. [J] Journal of Harbin Institute of Technology, 2008,40(7):1017-1020.

[3] Wen Chuan-jun, Zhang Yong-zhao,Chen Chang-jun.Maximal-margin minimal-volume hypersphere support vector machine.[J]Control and Decision.[J]Control and Decision. 2010,25(1):79-83.

[4]Zhang Shu-ning, Wang Fu-li, b; You Fu-qiang,Jia Run-da. Robust least squares support vector machine based on robust learning algorithm and its application.[J]Control and Decision.2010,25(8):1169-1177.

[5] Guo Zhen-kai, Song Zhao-qing, Mao Jian-qin. An improved online least squares support vector machines regression algorithm.[J] Control and Decision,2009,24(1):145-148.

[6] Qu Hai-ni, Xu Wei-sheng. Dreyfus Gerard. Dynamic system modeling based on recurrent least squares support vector machines.[J] Control and Decision,2009,24(11):1163-1172.

[7] Chen Zhi-ming, Luo Fei, Huang Xiao-hong, Xu Yu-ge. Rolling force prediction based on chaotic optimized support vector machine.[J] Control and Decision,2009,24(6):808-812.

[8] Suykens J A K, Vandew alle J. Recurrent least squares support vector machines[J]. IEEE Trans on Circuits and Systems-Fundamental Theory and Applications, 2000, 47(7): 1109-1114.

[9] Son J S, Lee D M, Kim I S, et al. A study on on-line learning neural network for prediction rolling force in hot-rolling mill [J]. J of Materials Processing Technology, 2005, 164/165: 1612-1617.

[10] Ajit Warrier, Mahesh Aia, Jeongki Min, et al. Z-MAC: A hybrid MAC for wireless sensor networks [J]. IEEE/ACM Trans on Networking, 2008, 16(3):511-524.

[11] Ahn H S, Chen Y Q, Kevin L M. Int iterative learning control[C]. The 2006 IEEE Int Symposium on Intelligent Control. Germany: Munich, 2006: 832-837.

[12] Guo B F, Gunn S R, Damper R I, et al. Customizing kernel functions for SVM-based hyperspectral image classification[J]. IEEE Trans on Image Processing, 2008, 17(4): 622-629.

[13] Camps-Valls G, Gomez-Choval L, Munoz-Mari J, et al. Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection[J]. IEEE Trans on Geoscience and Remote Sensing, 2008, 46(6): 1822-1835.

[14] KWAK KC，PEDRYCZ W．Face recognition：a study in information fusion suing fuzzy integral[J]．Pattern Recognition Letters，2005，26：719—733．

[15] ANNA K J，JAMES D M，MAREK F，et a1．Computer-aided polyp detection in ct colonography using an ellsemble of support vector machines[J]．International Congress Series，2003,1256:1019-1024.