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Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

Operation rule plays an important role in the scientific management of hydropower reservoirs, because a scientifically sound operating rule can help operators make an approximately optimal decision with limited runoff prediction information. In past decades, various effective methods have been devel...

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Hlavní autoři:	Wen-Jing Niu, Zhong-Kai Feng, Bao-Fei Feng, Yao-Wu Min, Chun-Tian Cheng, Jian-Zhong Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2019-01-01
Edice:	Water
Témata:	hydropower reservoir operation rule derivation multiple linear regression artificial neural network extreme learning machine support vector machine dynamic programming
On-line přístup:	http://www.mdpi.com/2073-4441/11/1/88
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Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

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