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《Journal of System Simulation》 2008-24
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A Kind of Fast Fuzzy Support Vector Machines

LIU Hong-bing1,2, XIONG Sheng-wu1 (1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China; 2. Department of Computer Science, Xinyang Normal University, Xinyang 464000, China)  
The two kinds of Fuzzy Support Vector Machines (FSVMs) which respectively were proposed by H. P. Huang, C. F. Lin, etc. and T. Inoue, S. Abe, etc. were improved Support Vector Machines (SVMs). They respectively solved the overfitting problem and reduced the unclassifiable regions of multi-class problems. It is urgent for SVMs to deal with outliers properly and speed up training for the training set of large scale. Regarding to the requirements, a kind of fast FSVMs integrating the advantages of above FSVMs was proposed. During the training process, the membership functions were defined by the distance between the data and their class centers and assign the lager penalty values for the data which are easy to be misclassified. The selected edge data including outliers with the lager membership values were used training FSVMs. During the testing process, the classes of the unknown data were discriminated by the 1-against-1 strategy and decision functions of FSVMs. The two-class problem including outliers and the multi-class problem, such as hand-written digit recognition in the machine learning benchmark dataset, have verified the reduced training time and the improved generalization abilities of the proposed fast FSVMs.
【Fund】: 国家自然科学基金(40701153 60572015);; 武汉市国际交流项目(200770834318);; 信阳师范学院青年骨干教师资助计划(2060503)
【CateGory Index】: TP181
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Chinese Journal Full-text Database 4 Hits
1 Xu Cuiyun Ye Ning(College of Information Science and Technology,Nanjing Forestry University,Nanjing 210037,Jiangsu,China);AN IMPROVED FUZZY SUPPORT VECTOR MACHINE BASED ON INTRA-CLASS HYPERPLANE[J];计算机应用与软件;2013-05
2 DING Shi-fei1,2,QI Bing-juan1,and TAN Hong-yan3(1.School of Computer Science and Technology,China University of Mining and Technology Xuzhou Jiangsu 221116; 2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Science Haidian Beijing 100080; 3.High Performance Network Laboratory,Institute of Acoustic,Chinese Academy of Science Haidian Beijing 100190);An Overview on Theory and Algorithm of Support Vector Machines[J];电子科技大学学报;2011-01
3 SHI Qi-quan,LI Xiao-ming,XIAO Ci-yuan(Dept.of Sciences,Southwest Petroleum University,Chengdu 610500,China);A Kind of Novel Fast Fuzzy Support Vector Machines[J];计算机技术与发展;2010-02
4 Guan Jian Liu Ning-bo Zhang Jian Song Jie (Department of Electronic and Information Engineering, Navy Aeronautical and Astronautical University, Yantai 264001, China);Multifractal Correlation Characteristic of Real Sea Clutter and Low-Observable Targets Detection[J];电子与信息学报;2010-01
Chinese Journal Full-text Database 2 Hits
1 YUAN Ping,MAO Zhi-zhong,WANG fu-li(Institute of Automatization,Northeastern University,Shenyang 110004,China);Soft Sensor Modeling Based on Multiple Support Vector Machines[J];系统仿真学报;2006-06
2 ZHENG Yu-jie1, YANG Jing-yu1, WU Xiao-jun2,3, YU Dong-jun1 (1.School of Information, Nanjing University of Science & Technology, Nanjing 210094, China; 2.Jiangsu University of Science and Technology, Zhenjiang 212003, China ; 3.Robotics Laboratory, Chinese Academy of Sciences, Shenyang 110015, China);Face Recognition by Independent Component Analysis and Fuzzy Support Vector Machine[J];系统仿真学报;2005-07
Chinese Journal Full-text Database 10 Hits
1 QIAO Hong;LI Han;WANG Tiankun;China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.;Chaoyang Electric Power Supply Company ,State Grid Beijing Electric Pow er Company;Science and Technology Development Department,Shenhua Group Corporation Limited;;Multi-model Fusion Soft Sensor Method for Thermal Power Plant Carbon Content of Fly Ash[J];南方能源建设;2015-S1
2 Cao Jingjing1,Zhuo Li 1,Wang Fang2,Tao Haiyan1(1.Guangdong Key Laboratory for Urbanization and Geo-simulation,School of Geography and Planning,Sun Yat-sen University,Guangzhou510275,China;2.School of Geographical Sciences,Guangzhou University,Guangzhou510006,China);Research on Applications of Blind Source Separation Techniques in Hyperspectral Unmixing[J];遥感技术与应用;2013-03
3 MA Cai-qing(School of Automation and Electrical Engineering,Qingdao University of Science and Technology,Qingdao Shandong,266042 China);Progress of Soft-sensing Technique[J];科技信息;2012-25
4 CHEN Zhi-ming,CAO Jian-zhong(Department of Electronic Science,Huizhou University,Huizhou 516007,China.);Strip shape and gauge control based on multiple SVM model and optimization controller[J];控制与决策;2012-04
5 ZHANG Bin,TANG Zhao-hui,ZHU Hong-qiu,GUI Wei-hua(School of Information Science & Engineering,Central South University,Changsha 410083,China);Novel Simplifying Method for Support Vector Machines and Its Application[J];系统仿真学报;2012-02
6 CAO Wei-feng,LU Hong(School of Automation,Nanjing Institute of Technology,Nanjing 211167,China);Kernel function characteristic analysis of support vector machine in face recognition[J];信息技术;2011-10
7 WANG Gaitang~1,LI Ping~2,SU Chengli~2 (1.School of Automation,Northwestern Polytechnical University,Xi'an 710072,China; 2.School of Information and Control Engineering,Liaoning Shihua University,Fushun 113001,China);Soft-Sensing Model Based on Multiple K-Nearest Neighbour Regression Algorithm[J];信息与控制;2011-05
8 Yang Siyuan1,Xu Peiliang2,Wang Zhenlei1(1.East China University of Science and Technology,Shanghai,200237,China;2.Panjin Liaohe Oilfield Tianyi Petroleum Equipment Company Ltd.,Panjin,124010,China);Modeling of Soft Measurement for Calorific Values Based on Wavelet Neural Network[J];石油化工自动化;2011-04
9 Yang Hong 1) Wang Rui 2) 1) (School of Physics and Electronic Engineering,Guangzhou University,Guangzhou 510006,China) 2) (School of Automation Science and Engineering,South China University of Technology,Guangzhou 510641,China);Fractional order chaotic system control based on feedback and multiple least square support vector machines[J];物理学报;2011-07
10 Yu Wei Luo Fei Yang Hong Xu Yu-ge(School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China);Multiple Neural Network-Based Model to Predict Ammonia Nitrogen Content in Wastewater[J];华南理工大学学报(自然科学版);2010-12
Chinese Journal Full-text Database 10 Hits
1 ZHANG Hui(School of Computer Engineering,Huaiyin Institute of Technology,Huaian,Jiangsu 223003);Improved Fuzzy Support Vector Machine and Its Application[J];安徽农业科学;2011-23
2 LIU Xiao-liang1,DING Shi-fei1,2,ZHU Hong1,ZHANG Li-wen1(1.School of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221008;2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080,China);Appropriateness in Applying SVMs to Text Classification[J];计算机工程与科学;2010-06
3 SHI Qi-quan,LI Xiao-ming,XIAO Ci-yuan(Dept.of Sciences,Southwest Petroleum University,Chengdu 610500,China);A Kind of Novel Fast Fuzzy Support Vector Machines[J];计算机技术与发展;2010-02
4 SUN Ming-song,GAO Qing-guo,WANG Xuan-dan College of Computer Science & Technology,Harbin University of Science and Technology,Harbin 150080,China;Mail filtering by dual membership fuzzy support vector machine[J];计算机工程与应用;2010-02
5 WANG Wen-jian1,2,GUO Hu-sheng1(1.School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China;2.Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Taiyuan 030006,China);Granular Support Vector Machine Learning Model[J];山西大学学报(自然科学版);2009-04
6 CHENG Wei1,2,ZHANG Yan-ping1,ZHAO Shu1(1.Key Lab.of Intelligent Computing & Signal Processing at Anhui University,Hefei 230039,China;2.Anhui Vocational College of Electronics & Information Technology,Bengbu 233040,China);Research of yield prediction model based on support vector machine within the framework of quotient space theory[J];中国农业大学学报;2009-05
7 ZHANG Wen-hao,WANG Wen-jian(Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,College of Computer and Information Technology,Shanxi University,Taiyuan 030006,China);A Kernel Granular Support Vector Machine Based on Association Rules[J];广西师范大学学报(自然科学版);2009-03
8 LI Miao-miao1,XIANG Feng-hong1,LIU Xin-wang2(1.School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650216;2.School of Computer Science,National University of Defense Technology,Changsha 410073,China);A Novel Membership Function for Fuzzy Support Vector Machines[J];计算机工程与科学;2009-09
9 XIE Sai-qin1,SHEN Fu-ming2,QIU Xue-na3 (1.Ningbo Institute of Scientific & Technical Information,Ningbo 315040;2.Ningbo Television,Ningbo 315012; 3.College of Electronic and Information Engineering,Ningbo University of Technology,Ningbo 315016);Face Recognition Method Based on Support Vector Machine[J];计算机工程;2009-16
10 ZHANG Qiu-yu,JIE Yang,LI Kai(College of Computer and Communication,Lanzhou Univ.of Tech.,Lanzhou 730050,China);Method of membership determination for fuzzy support vector machine[J];兰州理工大学学报;2009-04
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 Lin Bin;Wang Tao;Shen Keren;Xu Xiaojun;Gu Quanquan;Guan Xiaojun;Zhang Minming;Department of Radiology, the Second Affiliated Hospital of Zhejiang University School of Medicine;;Differentiation of pulmonary mucosa-associated lymphoid tissue lymphoma and pulmonary adenocarcinoma by radiomics[J];中华放射学杂志;2018-10
2 ZHANG Lei;CHEN Dong;WANG Jianxin;GAO Xianwei;DUAN Xiaoyi;Beijing Electronic Science & Technology Institute;;Algorithms and Applications on Machine Learning[J];北京电子科技学院学报;2017-04
3 XU Longshun;ZHAO Chunlin;ZHAO Min;Postgraduate Brigade,Engineering University of PAP;Department of Information Engineering,Engineering University of PAP;;Classification of Driving Mental Fatigue Based on Support Vector Machines[J];武警工程大学学报;2016-06
4 Ma Wenqiang;Zhang Man;Li Zhongxin;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University;Agricultural Mechanization Institute,Xinjiang Academy of Agricultural Sciences;;Rapid Classification Method of Walnut Kernel Varieties Based on Near-infrared Diffuse Reflectance Spectra[J];农业机械学报;2015-S1
5 Ji Yuhan;Li Ting;Zhang Man;Sha Sha;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University;;Design of CO_2 Fertilizer Optimizing Control System on WSN[J];农业机械学报;2015-S1
6 TIAN He-lei;DING Sheng;YU Chang-wei;ZHOU Li;Hefei University of Technology;;Moving target detection in surveillance video[J];合肥工业大学学报(自然科学版);2015-12
7 YE Yongwei;REN Shedong;LU Junjie;YANG Chao;Key Laboratory of Special Purpose Equipment and Advanced Manufacturing Technology,Ministry of Education,Zhejiang University of Technology;;Fault diagnosis for automobile coating equipment based on SVM[J];浙江工业大学学报;2015-06
8 WANGYazhen;ZHANG Xinfeng;HU Guangqin;CAI Yiheng;Signal &Information Processing Laboratory,College of Electronic Information and Control Engineering,Beijing University of Technology;;Study of tongue image quality assessment based on SVM in traditional Chinese medicine[J];北京生物医学工程;2015-06
9 LI Gang;HAN Hailan;YUAN Hang;ZHOU Zhicheng;College of Automobile and Traffic Engineering,Liaoning University of Technology;;Study on classification and identification methods of driver steering characteristics[J];河北科技大学学报;2015-06
10 GONG Minxia;YUAN Sai;CHU Zhengwei;ZHANG Shuliang;FANG Caili;Key Laboratory of Virtual Geographic Environment for the Ministry of Education,Nanjing Normal University;Information Center of Jiangsu of Land and Resources;Honour School of Nanjing Normal University;Nanjing Institute of Surveying, Mapping and Geotechnical Investigation,Co.Ltd;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application;;Underground Pipeline Data Matching Considering Multiple Spatial Similarities[J];测绘学报;2015-12
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 YAN Wei-wu, ZHU Hong-dong, SHAO Hui-he (Department of Automation, Shanghai Jiao Tong University,Shanghai 200030, China);Soft Sensor Modeling Based on Support Vector Machines[J];系统仿真学报;2003-10
2 WANG Ding-cheng 1,2 , FANG Ting-jian 2, GAO Li-fu 1,2 , MA Yong-jun 1 (1.Department of Automation, University of Science and Technology of China, Hefei 230026, China; 2.Hefei Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, China);Support vector machines regression on-line modellingand its application[J];控制与决策;2003-01
3 Sun Yanguang Gao Kewei Tao Baisheng(Automation Research and Design Institute of Metallurgical Industry,Beijing 100071,China) (Jiangyin Xingcheng Iron and Steel Limited Company,Jiangyin 214433,China);Steel Temperature Soft Measurement Based Intelligent Technology[J];仪器仪表学报;2002-S2
4 YANG Zhu Qing LI Yong HU De Wen(College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073);INDEPENDENT COMPONENT ANALYSIS: A SURVEY[J];自动化学报;2002-05
5 YAN Hui ZHANG Xue-Gong MA Yun-Qian LI Yan-Da(Department of Automation, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijing 100084);THE PARAMETER ESTIMATION OF RBF KERNEL FUNCTION BASED ON VARIOGRAM[J];自动化学报;2002-03
6 CHANG Yu qing, WANG Fu li (Northeastern University, Shenyang 110004, China);Distributed RBF Network Soft Sensor Model Based on Fuzzy Rule Classification[J];计量学报;2002-02
7 Xiong Zhihua, Wang Xiong, Xu Yongmao (Tsinghua University);Nonlinear Software Sensor Modeling Using Mulitple Neural Network[J];控制与决策;2000-02
8 ZHANG Xuegong (Dept.of Automation,Tsinghua University,Beijing 100084) (State Key Laboratory of Intelligent Technology and Systems of China);INTRODUCTION TO STATISTICAL LEARNING THEORY AND SUPPORT VECTOR MACHINES[J];自动化学报;2000-01
9 WANG Xudong; SHAO Huihe and LUO Rongfu(Institute of Automation,Shanghai Jiaotong University·Shanghai, 200030,PRC);The Distributed RBF Neural Network and Its Application in Soft Sensor[J];控制理论与应用;1998-04
10 ZHANG JUNJIE (Shanghai Metallurgy Equipment General Factory, 200090) WANG SHUNHUANG (Dept. of Automation, Beijing University of Science and Technology, Beijing, 100083);TERMINAI ADAPTIVE PREDICATION AND EXPERT DIRECTING OPERATION FOR THE STEELMAKING PROCESS OF ELECTRIC ARC FURNACE[J];自动化学报;1993-04
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