Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
Accurate estimation of reference evapotranspiration (ET0) is a crucial parameter in implementing precise irrigation strategies and managing regional water resources effectively. While various methods have been proposed to obtain accurate ET0, the conventional approach is complex, uneconomical, and u...
相似書籍
-
Precipitation estimation using support vector machine with discrete wavelet transform
由: Shenify M.; Danesh A.S.; Gocić M.; Taher R.S.; Wahab A.W.A.; Gani A.; Shamshirband S.; Petković D.
出版: (2015) -
Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
由: Ng J.L.; Huang Y.F.; Chong A.H.; Ahmed A.N.; Syamsunurc D.
出版: (2024) -
Erratum: Water Practice and Technology, 19 (11): 4338–4354: Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia, Jing Lin Ng et al., https://dx.doi.org/10.2166/wpt.2024.265
由: Ng J.L.; Huang Y.F.; Chong A.H.; Ahmed A.N.; Syamsunur D.
出版: (2025) -
Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)
由: 2-s2.0-84879735938
出版: (2013) -
Training and analysis of support vector machine using sequential minimal optimization
由: Shahbudin S.; Hussain A.; Samad S.A.; Md. Tahir N.
出版: (2008)