Streamflow forecasting plays a critical role in nearly all aspects of water resources planning and management. In this work, Gaussian Process Regression (GPR), an effective kernel-based machine learning algorithm, is applied to probabilistic streamflow forecasting. GPR is built on Gaussian process,
β¦ LIBER β¦
Monthly streamflow forecasting using Gaussian Process Regression
β Scribed by Sun, Alexander Y.; Wang, Dingbao; Xu, Xianli
- Book ID
- 121497049
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 885 KB
- Volume
- 511
- Category
- Article
- ISSN
- 0022-1694
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