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| A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines | |
| 引用本文： | 冯瑞,张艳珠,宋春林,邵惠鹤. A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines[J]. 上海交通大学学报(英文版), 2003, 8(2): 137-141 |
| 作者姓名： | 冯瑞 张艳珠 宋春林 邵惠鹤 |
| 作者单位： | [1]Dept.ofAutomation,ShanghaiJiaotongUniv.,Shanghai200030,China [2]Dept.ofInformationEng.,ShenyangInst.ofTechnology,Shenyang110015 [3]SchoolofInformationandEng.,NortheasternUniv.,Shenyang110003 |
| 基金项目： | National High Technology Research andDevelopment Program of China( Project 863，G2 0 0 1AA413 13 0 |
| 摘 要： | A new multiple models (MM) approach was proposed to model complex industrial process by using Fuzzy Support Vector Machines(F_SVMs). By applying the proposed approach to a pH neutralization titration experiment, F_SVMs MM not only provides satisfactory approximation and generalization property, but also achieves superior performance to USOCPN multiple modeling method and single modeling method based on standard SVMs. |
| 关 键 词： | 建模方法 模糊控制矢量机械 模糊控制分级器 多路模型 |
A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines |
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| FENG Rui ,ZHANG Yan-zhu ,SONG Chun-lin ,SHAO Hui-he. A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines[J]. Journal of Shanghai Jiaotong university, 2003, 8(2): 137-141 | |
| Authors: | FENG Rui ZHANG Yan-zhu SONG Chun-lin SHAO Hui-he |
| Affiliation: | 1. Dept. of Automation, Shanghai Jiaotong Univ. , Shanghai 200030, China 2. Dept. of Information Eng., Shenyang Inst. of Technology, Shenyang 110015 3. School of Information and Eng. , Northeastern Univ. , Shenyang 110003 |
| Abstract: | A new multiple models(MM) approach was proposed to model complex industrial process by using Fuzzy Support Vector Machines(F -SVMs). By applying the proposed approach to a pH neutralization titration experiment, F -SVMs MM not only provides satisfactory approximation and generalization property, but also achieves superior performance to USOCPN multiple modeling method and single modeling method based on standard SVMs. |
| Keywords: | fuzzy support vector machines(FSVMs) fuzzy support vector classifier(FSVC) fuzzy support vector regression(FSVR) multiple model modeling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |