Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study : Verayneh Station, Nahavand)
Joint Authors
Nourani, Vahid
Solgi, Abazar
Pourhaghi, Amir
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459820