Self organizing map and least square support vector machine method for river flow modelling
Successful river flow time series forecasting is a primary goal and an essential procedure required in the planning and water resources management. River flow data are important for engineers to design, build and operate various water projects and development. The monthly river flow data taken from...
Saved in:
主要作者: | Ismail, Shuhaida |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2011
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/47986/24/ShuhaidaIsmailMFS2011.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Empirical mode decomposition with least square support vector machine model for river flow forecasting
由: Ismail, Shuhaida
出版: (2016) -
Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
由: Zuriani, Mustaffa
出版: (2010) -
A public transport travel time prediction using least squares support vector machine
由: Sadat Zadeh, Seyed Mojtaba Tafaghod
出版: (2013) -
Parameter estimation using least square method
由: Zamzuri, Hairi
出版: (2001) -
Flood frequency analysis at ungauged sites in Peninsular Malaysia using least square support vector machine
由: Roselan, Nur Shahidah
出版: (2014)