article Open AccessTop 1% cited
A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
Journal of Hydrology · 2009 · Vol. 374(3-4) · pp. 294–306
Wenchuan Wang(Ningxia Water Conservancy)Kwok‐wing Chau✉(Hong Kong Polytechnic University)Chuntian Cheng(Dalian University of Technology)Lin Qiu(North China University of Water Resources and Electric Power)
Hydrological Forecasting Using AIHydrology and Watershed Management StudiesWater resources management and optimizationMean squared errorAdaptive neuro fuzzy inference systemComputer scienceArtificial neural networkMean absolute percentage errorSupport vector machineTime seriesAutoregressive–moving-average modelCorrelation coefficientForecast skill
Funding
- National Natural Science Foundation of China
Citations
823
FWCI
32.34
field-weighted impact
References
69
Percentile
100%
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References
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River flow forecasting through conceptual models part I — A discussion of principles
Journal of Hydrology · 1970 · 23,740 citations
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
Water Resources Research · 1999 · 4,522 citations
A scaled conjugate gradient algorithm for fast supervised learning
Neural Networks · 1993 · 4,051 citations
Hybrid neural network models for hydrologic time series forecasting
Applied Soft Computing · 2006 · 460 citations
Statistical Learning Theory
Technometrics · 1999 · 26,915 citations
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