Monitoring model for dam seepage based on partial least-squares regression and partial least square support vector machine

被引：0
|
作者：
Hohai University, Nanjing 210098, China [1 ]
不详 [2 ]
机构：
来源：
Shuili Xuebao | 2008年 / 12卷 / 1390-1394+1400期
关键词：
Seepage;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] AN APPROACH TO INTERVAL ESTIMATION IN PARTIAL LEAST-SQUARES REGRESSION
    PHATAK, A
    REILLY, PM
    PENLIDIS, A
    ANALYTICA CHIMICA ACTA, 1993, 277 (02) : 495 - 501
  • [22] Scaled Predictor Envelopes and Partial Least-Squares Regression
    Cook, R. Dennis
    Su, Zhihua
    TECHNOMETRICS, 2016, 58 (02) : 155 - 165
  • [23] Extreme partial least-squares
    Bousebata, Meryem
    Enjolras, Geoffroy
    Girard, Stephane
    JOURNAL OF MULTIVARIATE ANALYSIS, 2023, 194
  • [24] AN INTERPRETATION OF PARTIAL LEAST-SQUARES
    GARTHWAITE, PH
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1994, 89 (425) : 122 - 127
  • [25] IMPLEMENTING PARTIAL LEAST-SQUARES
    DENHAM, MC
    STATISTICS AND COMPUTING, 1995, 5 (03) : 191 - 202
  • [26] SIMPLS - AN ALTERNATIVE APPROACH TO PARTIAL LEAST-SQUARES REGRESSION
    DEJONG, S
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1993, 18 (03) : 251 - 263
  • [27] Modeling rice evapotranspiration with partial least-squares regression
    Fu, Qiang
    Wang, Zhiliang
    Liang, Chuan
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2002, 18 (06):
  • [28] ANOVA INTERACTIONS INTERPRETED BY PARTIAL LEAST-SQUARES REGRESSION
    AASTVEIT, AH
    MARTENS, H
    BIOMETRICS, 1986, 42 (04) : 829 - 844
  • [29] Using partial least-squares regression to develop a model of rice evapotranspiration
    Fu, Q
    Wang, LK
    Song, L
    Xing, ZX
    JOURNAL OF EXPERIMENTAL BOTANY, 2003, 54 : 42 - 42
  • [30] Using partial least-squares regression to develop a model of rice evapotranspiration
    Fu, Q
    Wang, LK
    Song, L
    Xing, ZX
    WATER-SAVING AGRICULTURE AND SUSTAINABLE USE OF WATER AND LAND RESOURCES, VOLS 1 AND 2, PROCEEDINGS, 2004, : 550 - 557
12345