Support vector machine-based model for daily evaporation estimation
Journal
Advances in Geosciences
Pages
1-10
Date Issued
2012
Author(s)
Lin, H.-Y.
Abstract
In this paper, a daily evaporation estimation model based on the support vector machine (SVM) is proposed. The SVM has better generalization ability over the back-propagation network (BPN). An application is conducted to clearly demonstrate the advantage. The result indicates that the proposed SVM-based model performs better than the existing BPN-based model. In conclusion, the proposed SVM-based model is recommended as an alternative to the existing models because of its accuracy. The proposed modeling technique is expected to be useful to improve the daily evaporation estimation.
SDGs
Type
book part