Support vector machine-based method for quality characteristic modeling

被引：0
|
作者：
Liu, J. [1 ]
Xu, L. J. [1 ]
Lin, Z. H. [1 ]
机构：
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
来源：
E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY | 2008年 / 10-12卷
关键词：
root-cause identification; quality characteristic modeling; Support Vector Machine (SVM);
D O I：
10.4028/www.scientific.net/AMM.10-12.253
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Root-cause identification and product quality characteristic modeling are key issues for improving product quality and the productivity of manufacturing process. The quality characteristic model, which indicates the influence of the dominate root-causes on the product quality characteristic, is the basis for quality control. In this paper an approach for quality characteristic modeling based on Support Vector Machine is presented. The selections of parameters and the Kernel function are discussed. The presented approach is applied for analyzing and predicting the quality of inertial gyroscope.
引用
收藏
页码：253 / +
页数：2
相关论文
共 50 条
  • [1] Support Vector Machine-Based Nonlinear System Modeling and Control
    Zhang Haoran
    Journal of Systems Engineering and Electronics, 2003, (03) : 53 - 58
  • [2] Support vector machine-based nonlinear system modeling and control
    Zhang, Haoran
    Han, Zhengzhi
    Feng, Rui
    Yu, Zhiqiang
    Journal of Systems Engineering and Electronics, 2003, 14 (03) : 53 - 58
  • [3] An Improved Method For Support Vector Machine-based Active Feedback
    Li, Zongmin
    Li, Li
    Liu, Yujie
    Bao, Jingwei
    2008 3RD INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2, 2008, : 389 - 393
  • [4] A support vector machine-based VVP wind retrieval method
    Li, Nan
    Wei, Ming
    Mu, Xiyu
    Zhao, Chang
    ATMOSPHERIC SCIENCE LETTERS, 2015, 16 (03): : 331 - 337
  • [5] Support Vector Machine-Based Tagged Neutron Method for Explosives Detection
    Li, Guang-Hao
    Jia, Shao-Lei
    Lu, Zhao-Hu
    Jing, Shi-Wei
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2024, 49 (07) : 9895 - 9908
  • [6] Support vector machine-based ECG compression
    Szilagyi, S. M.
    Szilagyi, L.
    Benyo, Z.
    ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 737 - +
  • [7] New support vector machine-based method for microRNA target prediction
    Li, L.
    Gao, Q.
    Mao, X.
    Cao, Y.
    GENETICS AND MOLECULAR RESEARCH, 2014, 13 (02): : 4165 - 4176
  • [8] A support vector machine-based method for predicting chemokine receptors types
    Jiang, Zhenran
    Zhu, Li
    Li, Mingxiao
    Li, Dandan
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 788 - +
  • [9] Support Vector Machine-Based Endmember Extraction
    Filippi, Anthony M.
    Archibald, Rick
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (03): : 771 - 791
  • [10] Support Vector Machine-Based Focused Crawler
    Baweja, Vanshita R.
    Bhatia, Rajesh
    Kumar, Manish
    INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, ICICCT 2019, 2020, 89 : 673 - 686
12345