Model of water quality evaluation with normalized indexes values based on regression support vector machines

被引:0
|
作者
Chengdu University of Information Technology, Chengdu 610041, China [1 ]
不详 [2 ]
机构
来源
Zhongguo Huanjing Kexue | 2013年 / 8卷 / 1502-1508期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
17
引用
收藏
相关论文
共 50 条
  • [1] TOPSIS Evaluation Model of Surface Water Quality Based on Normalized Index Values
    Wang, Jiayang
    Yu, Chunxue
    Li, Zuoyong
    Wang, Wensheng
    MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS, PTS 1 AND 2, 2012, 195-196 : 1232 - +
  • [2] On the noise model of Support Vector Machines Regression
    Pontil, M
    Mukherjee, S
    Girosi, F
    ALGORITHMIC LEARNING THEORY, PROCEEDINGS, 2000, 1968 : 316 - 324
  • [3] Prediction model of coke quality based on support vector machines
    Cui, Qing-An
    He, Zhen
    Cui, Fu-Xin
    Huagong Zidonghua Ji Yibiao/Control and Instruments in Chemical Industry, 2006, 33 (01): : 28 - 31
  • [4] Support vector machines in water quality management
    Singh, Kunwar P.
    Basant, Nikita
    Gupta, Shikha
    ANALYTICA CHIMICA ACTA, 2011, 703 (02) : 152 - 162
  • [5] Support vector regression machines
    Drucker, H
    Burges, CJC
    Kaufman, L
    Smola, A
    Vapnik, V
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE, 1997, 9 : 155 - 161
  • [6] Support vector machines for regression and applications to software quality prediction
    Jin, Xin
    Liu, Zhaodong
    Bie, Rongfang
    Zhao, Guoxing
    Ma, Jixin
    COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS, 2006, 3994 : 781 - 788
  • [7] Sales forecasting based on support vector machines regression
    Bao, Y
    Zou, H
    Xu, C
    Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing, 2005, : 217 - 221
  • [8] Fuzzy regression based on asymmetric support vector machines
    Yao, Chih-Chia
    Yu, Pao-Ta
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 182 (01) : 175 - 193
  • [9] Research on support vector machines based predictive model for yarn quality
    College of Mechanical Engineering, Donghua University, Shanghai 201620, China
    Kongzhi yu Juece Control Decis, 2007, 6 (693-696): : 693 - 696
  • [10] Water Quality Prediction Based on Grey-support Vector Regression
    Du Jing
    Tao Tao
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 263 - 267