Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model
出版年份 2016 全文链接
标题
Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model
作者
关键词
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出版物
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume 31, Issue 8, Pages 1997-2010
出版商
Springer Nature
发表日期
2016-06-01
DOI
10.1007/s00477-016-1273-z
参考文献
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- Forecast combination in industrial series: A comparison between individual forecasts and its combinations with and without correlated errors
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- (2009) Durdu Ömer Faruk ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
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- Stochastic simulation of the severity of hydrological drought
- (2007) Adane Abebe et al. WATER AND ENVIRONMENT JOURNAL
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