[1]Platt J C,Scholkopf B,Burges C J C,et al. Fast training of SVMs using sequential minimal optimization [ A]. Advances in Kernel Methods Support Vector Learning [C]. Massachusetts,US:MIT Press,1998:185-208. [2] Keerthi S, Shevade S, Bhattacharyya C, et al. Improvements to platt爷s SMO algorithm for SVM classifier design[ J]. Neural Networks,1999,6(12): 783-789. [3] Zhang Ling,Zhang Bo. A geometrical representation of McCulloch-pitts neural model and its applications[J]. IEEE Transactions on Neural Networks,1999,10(4): 925-929. [4] 孙林,杨世元. 基于LS-SVM 的温度传感器非线性关 系拟合及参考端温度补偿[ J]. 应用科学学报,27 (6):616-622. Sun Lin,Yang Shiyuan. Fitting of non-linear relation of temperature sensor and reference temperature compensation based on LS-SVM [ J ]. Journal of Applied Sciences,2009,27(6):616-622. [5] Zhang Li, Zhou Weida, Jiao Licheng. Pre-extracting support vectors for support vector machine[A]. WCCC- ICSP Proceedings of 5th International Conference on Signal Processing [ C ]. Beijing: Publishing House Electronics Industry,2000:1427-1431. [6] 姜慧妍,宗茂,刘相莹. 基于ACO-SVM 的软件缺陷 预测模型的研究[ J]. 计算机学报,2011,34(6): 1148-1154. Jiang Huiyan, Zong Mao, Liu Xiangying. Research of software defect prediction model based on ACO-SVM [J]. Chinese Journal of Computers,2011,34(6):1148 -1154. [7] 李红莲,王春花,袁保宗,等. 针对大规模训练集的 支持向量机的学习策略[ J]. 计算机学报,2004,27 (5):715-719. Li Honglian, Wang Chunhua, Yuan Baozong, et al. A learning strategy of SVM used to large training set[J]. Chinese Journal of Computers,2004,27(5):715-719. [8] Canu S,Grandvalet Y,Guigue V,et al. SVM and kernel methods Matlab toolbox[ EB/ OL]. http:/ / asi. insa - rouen. fr/ ~ arakotom/ toolbox/ ,2005-12-20. [9] 张培林,钱林方,曹建军,等. 基于蚁群算法的支持 向量机参数优化[ J]. 南京理工大学学报,2009,33 (4):464-468. Zhang Peilin, Qian Linfang, Cao Jianjun, et al. Parameter optimization of support vector machine based on ant colony optimization algorithm [ J]. Journal of Nanjing University of Science and Technology,2009, 33(4):464-468. [10] 邢永忠,吴晓蓓,徐志良. 基于矢量基学习的自适应 迭代最小二乘支持向量机回归算法[ J]. 南京理工 大学学报,2011,35(3):328-333. Xing Yongzhong, Wu Xiaobei, Xu Zhiliang. Adaptive iterative LS-SVM regression algorithm based on vector base learning [ J]. Journal of Nanjing University of Science and Technology,2011,35(3):328-333.