Smola A J, Sch？lkopf B. A tutorial on support vector regression. Statistics and Computing, 2004, 14(3): 199-222
[2]
Liang Yan-Ming, Su Fang, Li Qi, Liu Ding. A self-organizing algorithm for T-S fuzzy model based on support vector machine regression and its application. Acta Automatica Sinica, 2013, 39(12): 2143-2149(梁炎明, 苏芳, 李琦, 刘丁. 基于支持向量机回归的T-S模糊模型自组织算法及应用. 自动化学报, 2013, 39(12): 2143-2149)
[3]
Zhou Xiao-Jian, Ma Yi-Zhong, Zhu Jia-Gang. Gradient-enhance support vector regression. Systems Engineering, 2010, 28(3): 87-92 (周晓剑, 马义中, 朱嘉钢. 基于梯度信息的支持向量回归机. 系统工程, 2010, 28(3): 87-92)
[4]
Tao Jian-Wen, Wang Shi-Tong. Kernel distribution consistency based local domain adaptation learning. Acta Automatica Sinica, 2013, 39(8): 1295-1309(陶剑文, 王士同. 核分布一致局部领域适应学习. 自动化学报, 2013, 39(8): 1295-1309)
Alexander I, Forrester J, Keane A J. Recent advances in surrogate-based optimization. Progress in Aerospace Sciences, 2009, 45(1-3): 50-79
[7]
Zhou X J, Ma Y Z, Li X F. Ensemble of surrogates with recursive arithmetic average. Structural and Multidisciplinary Optimization, 2011, 44(5): 651-671
