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Register a new userArtificial Neural Network Model to Predict Water Levels in Qattinah Lake
أنموذج شبكة عصبية صنعية للتنبؤ بمنسوب المياه في بحيرة قطينة
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تتضمن هذه الدراسة إمكانية استخدام الشبكات العصبية الاصطناعية مع خوارزمية الانتشار العكسي في التنبؤ قصير المدى بمناسيب بحيرة قطينة على نهر العاصي, مع الإشارة على أن البيانات المستخدمة هي بيانات مناسيب المياه في البحيرة و بيانات الأمطار للفترة الممتدة بين ( 1\5\2007 - 28\2\2009 ).
This study includes the possibility of using Artificial neural networks (ANNs) with back-propagation algorithm in a short-term prediction of water level in Qattinah Lake. The data used are the water level data in the lake and rainfall data for the period from 1/5/2007 to 28/2/2005. 2009).
References used
Asce Task Committee on Application of Artificial Neural Networks in Hydrology, 2000 - Artificial Neural Networks in Hydrology. I: Preliminary concepts. J. Hydrol. Eng, 115-123
Asce Task Committee on Application of Artificial Neural Networks in Hydrology, 2000 - Artificial Neural Networks in Hydrology. II: Hydrologic applications. J. Hydrol. Eng, 124- 137
THIRUMALAIAH, K; DEO, M.C, 1998 - River Stage Forecasting Using Artificial Neural Networks. Journal of Hydrologic Engineering 3, PP: 26–31
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