Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow ForecastingSource: Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 008Author:Özgür Kişi
DOI: 10.1061/(ASCE)HE.1943-5584.0000053Publisher: American Society of Civil Engineers
Abstract: Intermittent streamflow estimates are important for water quality management, planning water supplies, hydropower, and irrigation systems. This paper proposes the application of a conjunction model (neurowavelet) for forecasting daily intermittent streamflow. The neurowavelet conjunction model is improved by combining two methods, discrete wavelet transform and artificial neural networks (ANN), for
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| contributor author | Özgür Kişi | |
| date accessioned | 2017-05-08T21:48:28Z | |
| date available | 2017-05-08T21:48:28Z | |
| date copyright | August 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000071.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/62934 | |
| description abstract | Intermittent streamflow estimates are important for water quality management, planning water supplies, hydropower, and irrigation systems. This paper proposes the application of a conjunction model (neurowavelet) for forecasting daily intermittent streamflow. The neurowavelet conjunction model is improved by combining two methods, discrete wavelet transform and artificial neural networks (ANN), for | |
| publisher | American Society of Civil Engineers | |
| title | Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 8 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000053 | |
| tree | Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 008 | |
| contenttype | Fulltext |