[1] |
Vapnik V.The nature of statistical learning theory [M].New York:SpringerVerlag,1995.
|
[2] |
Zhang Xuegong. Pattern recognition [M].3rd Edtion. Beijing:Tsinghua University,2010.(in Chinese)
|
[3] |
Lv Chengshu.Shilling attack detection method of recommender systems based on costsensitive SVM [J].Computer Engineering & Science,2014,36(4):697701.(in Chinese)
|
[4] |
Meng Qian, Ma Xiaoping. Software defect prediction using rough sets and support vector machine [J].Computer Engineering & Science,2015,37(1):9398.(in Chinese)
|
[5] |
Tong M,Liu K,Xu C,et al.An ensemble of SVM classifiers based on gene pairs [J].Computers in Biology and Medicine,2013,43(6):729737.
|
[6] |
Lin C F,Wang S D.Fuzzy support vector machines [J].IEEE Transactions on Neural Networks,2002,13(2):464471.
|
[7] |
Jiang X F,Yi Z,Lv J C.Fuzzy SVM with a new fuzzy membership function [J].Neural Computation and Application,2006,3(15):268276.
|
[8] |
Chaudhuri A. Modified fuzzy support vector machine for credit approval classification [J].AI Communications,2014,27(2):189211.
|
[9] |
Ha Minghu, Peng Guibing, Zhao Qiuhuan, et al.A new fuzzy support vector machine [J].Computer Engineering and Applications,2009,45(25):151153.(in Chinese)
|
[10] |
Du Zhe, Liu Sanyang, Qi Xiaogang. Fuzzy support vector machine with new membership function [J].Journal of System Simulation,2009,21(7):19011903.(in Chinese)
|
[11] |
An W J,Liang M G.Fuzzy support vector machine based on withinclass scatter for classification problems with outliers or noises [J].Neurocomputing,2013,110(13):101110.
|
[12] |
Tang W M.Fuzzy SVM with a new fuzzy membership function to solve the twoclass problems [J].Neural Processing Letters,2011,34(3):209219.
|
[13] |
Xia S Y,Xiong Z Y,Luo Y G,et al.Relative density based support vector machine [J].Neurocomputing,2015,149(Part C):14241432.
|
[14] |
Liu S F,Lin Y.Grey information theory and practical applications [M].London:SpringerVerlag,2009.
|
[15] |
Zhou Huaping,Li Jingzhao.An integrated prediction model using multistage gray model and support vector machine [J].Computer Engineering & Science,2015,37(3):539546.(in Chinese)
|
[16] |
Guo Le,Jia Zhenhong,Qin Xizhong,et al.A multifactor grey model based on SVM residual error compensation for telephone traffic prediction [J].Computer Engineering & Science,2014,36(7):13301335.(in Chinese)
|
[17] |
Zhu Shuang,Zhou Jianzhong,Meng Changqing,et al.Study and application of fuzzy support vector machine based on gray correlation analysis to stream flow forecasting [J].Journal of Hydroelectric Engineering,2015,34(6):16.(in Chinese)
|
[18] |
Chen Wei,Jia Qingxuan,Sun Hanxu.Bearing fault classification using support vector machine decision tree and grey correlation information entropy [J].Journal of Vibration,Measurement and Diagnosis,2013,33(3):504508.(in Chinese)
|
[19] |
Wu Qiang, Li Jianping, Hu Xiaorong, et al.Determination analysis of fuzzy membership for SVM based on the grey connection analysis [J].Mathematical Theory and Applications,2007,27(2):108111.(in Chinese)
|
[20] |
Sevakula R K,Verma N K.Clustering based outlier detection in fuzzy SVM[C]∥Proc of 2014 IEEE International Conference on Fuzzy Systems (FUZZIEEE),2014:11721177.
|
[21] |
Bache K, Lichman M. UCI machine learning repository [DB/OL].[20130413].http://archive.ics.uci.edu/ml,Irvine,CA:University of California.
|
[22] |
Chang C C,Lin C J.LIBSVM:A library for support vector machines [J].ACM Transactions on Intelligent Systems and Technology,2011,2(3):127.
|
|
附中文参考文献:
|
[2] |
张学工.模式识别[M].第三版.北京:清华大学出版社,2010.
|
[3] |
吕成戍.基于代价敏感支持向量机的推荐系统托攻击检测方法[J].计算机工程与科学,2014,36(4):697701.
|
[4] |
孟倩,马小平.基于粗糙集支持向量机的软件缺陷预测[J].计算机工程与科学,2015,37(1):9398.
|
[9] |
哈明虎,彭桂兵,赵秋焕,等.一种新的模糊支持向量机[J].计算机工程与应用,2009,45(25):151153.
|
[10] |
杜喆,刘三阳,齐小刚.一种新隶属度函数的模糊支持向量机[J].系统仿真学报,2009,21(7):19011903.
|
[15] |
周华平,李敬兆.多阶灰色支持向量机集成预测模型研究[J].计算机工程与科学,2015,37(3):539546.
|
[16] |
郭勒,贾振红,覃锡忠,等.支持向量机补偿的多因素灰色模型话务量预测[J].计算机工程与科学,2014,36(7):13301335.
|
[17] |
朱双,周建中,孟长青,等.基于灰色关联分析的模糊支持向量机方法在径流预报中的应用研究[J].水力发电学报,2015,34(6):16.
|
[18] |
陈伟,贾庆轩,孙汉旭.基于灰关联信息熵的SVM决策树轴承故障分类[J].振动、测试与诊断,2013,33(3):504508.
|
[19] |
吴强,李建平,胡小荣,等.基于灰色关联分析的模糊支持向量机中隶属度的确定[J].数学理论与应用,2007,27(2):108111.
|