A Comparative Study of Groundwater Level Forecasting Using Data-Driven Models Based on Ensemble Empirical Mode Decomposition

A Comparative Study of Groundwater Level Forecasting Using Data-Driven Models Based on Ensemble Empirical Mode Decomposition

The reliable and accurate prediction of groundwater levels is important to improve water-use efficiency in the development and management of water resources. Three nonlinear time-series intelligence hybrid models were proposed to predict groundwater level fluctuations through a combination of ensemb...

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Bibliographic Details
Main Authors: Yicheng Gong, Zhongjing Wang, Guoyin Xu, Zixiong Zhang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Water
Subjects:
groundwater level
ensemble empirical mode decomposition
artificial neural network
support vector machine
adaptive neuro fuzzy inference system
Online Access:http://www.mdpi.com/2073-4441/10/6/730

Internet

http://www.mdpi.com/2073-4441/10/6/730

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