Art

J-GLOBAL ID：201402289179559236   Reference number：14A0408816

Knowledge Acquisition from In-Operation Data for Water Supply Systems using PLS Regression and K-Means Method

K平均法およびPLS回帰分析を用いた運転ノウハウの抽出による運転支援の為の上水送水系運転システム

Author (2)： MATSUKI HIROSHI (横浜国立大学) ,  FUJIMOTO YASUTAKA (横浜国立大学)
Material： 電気学会論文誌 D  (IEEJ Transactions on Industry Applications)
Volume： 134  Issue： 3  Page： 301-307 (J-STAGE)  Publication year： 2014 
JST Material Number： X0451A  ISSN： 0913-6339  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： regression analysis ,  *waterworks ,  *water conveyance ,  *plan ,  *cluster analysis ,  *average method ,  *operation support system ,  *partial least squares method ,  regression model ,  quantity of water supply ,  operator(worker)
Semi thesaurus term： operation scheduling ,  k-means method ,  送水量

JST classification (1)： Water supply source,intake,water conveyance,water distribution,water supply  (SC02020I)

Reference (35)：

• (1) 厚生労働省健康局:「水道ビジョン」, http://www.jwwa.or.jp/vision/index.html (2008) (in Japanese)
• (2) I. Rojek: “Neural Networks as Prediction Models for Water Intake in Water Supply System”, Lecture Notes in Computer Science, Vol. 5097, pp. 1109-1119 (2008)
• (3) I. S. Msiza, F. V. Nelwamondo, and T. Marwala: “Water Demand Prediction using Artificial Neural Networks and Support Vector Regression”, Journal of Computers, Vol. 3, No. 11, pp. 1-8 (2008)
• (4) M. Y. Tu, F. T. C. Tsai, and W. W. G. Yeh: “Optimization of Water Distribution and Water Quality by Hybrid Genetic Algorithm”, Journal of Water Resources Planning and Management, Vol. 131, No. 6, pp. 431-440 (2005)
• (5) G. C. Dandy, A. R. Simpson, and L. J. Murphy: “An improved genetic algorithms for pipe network optimization”, Water Rresources Res., Vol. 32, No. 2, pp. 449-458 (1996)

Terms in the title (6)： 平均法 ,  PLS回帰分析 ,  ノウハウ ,  支援 ,  上水 ,  送水