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Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study : Verayneh Station, Nahavand)
المؤلفون المشاركون
Nourani, Vahid
Solgi, Abazar
Pourhaghi, Amir
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-02
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Doubtlessly the first step in a river management is the precipitation modeling over the related watershed.
However, considering high-stochastic property of the process, many models are still being developed in order to define such a complex phenomenon in the field of hydrologic engineering.
Recently artificial neural network (ANN) as a nonlinear interextrapolator is extensively used by hydrologists for precipitation modeling as well as other fields of hydrology.
In the present study, wavelet analysis combined with artificial neural network and finally was compared with adaptive neurofuzzy system to predict the precipitation in Verayneh station, Nahavand, Hamedan, Iran.
For this purpose, the original time series using wavelet theory decomposed to multiple subtime series.
Then, these subseries were applied as input data for artificial neural network, to predict daily precipitation, and compared with results of adaptive neurofuzzy system.
The results showed that the combination of wavelet models and neural networks has a better performance than adaptive neurofuzzy system, and can be applied to predict both short- and long-term precipitations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Solgi, Abazar& Nourani, Vahid& Pourhaghi, Amir. 2014. Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study : Verayneh Station, Nahavand). Advances in Civil Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-459820
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Solgi, Abazar…[et al.]. Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study : Verayneh Station, Nahavand). Advances in Civil Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-459820
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Solgi, Abazar& Nourani, Vahid& Pourhaghi, Amir. Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study : Verayneh Station, Nahavand). Advances in Civil Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-459820
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-459820
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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