A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
Work
Year: 2009
Type: article
Source: Journal of Hydrology
Institutions Dalian University of Technology, Ningxia Water Conservancy, Hong Kong Polytechnic University, North China University of Water Resources and Electric Power
Cites: 67
Cited by: 798
Related to: 10
FWCI: 27.41
Citation percentile (by year/subfield): 94.09
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Sustainable Development Goal Clean water and sanitation
Open Access status: green