TY - JOUR ID - 7376 TI - Hybrid Models Performance Assessment to Predict Flow of Gamasyab River JO - International Journal of Advanced Biological and Biomedical Research JA - IJABBR LA - en SN - 2383-2762 AU - Solgi, Abazar AU - Radmanesh, Feridon AU - Zarei, Heidar AU - Nourani, Vahid AD - MSc Student, Faculty of Water Sciences, Shahid Chamran University of Ahvaz, Iran AD - Assistant Professor, Faculty of Water Sciences, Shahid Chamran University of Ahvaz, Iran AD - Associate professor, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran Y1 - 2014 PY - 2014 VL - 2 IS - 5 SP - 1837 EP - 1846 KW - Hybrid model KW - Wavelet - Artificial Neural Network KW - Wavelet - Adaptive Neural Fuzzy Inference System KW - Gamasyab River KW - Monthly flow prediction DO - N2 - Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran). For this purpose, original time series using wavelet theory decomposed to multi time sub-signals, then these decomposed sub-signals as in input data are used in Adaptive Neural Fuzzy Interference System (ANFIS) and Artificial Neural Network (ANN) for monthly flow prediction. The obtained result shows that WANFIS model has better performance than WANN and can be used for short term and long term flow prediction. One of the weaknesses of fuzzy models is the model estimation error in minimum and maximum points. Which this problem can solve by using hybrid models of wavelet - fuzzy inference system.Also based on results of hybrid model of wavelet- network, it can be concluded that to achieve accurate estimation of the number of different intermediate layers are examined and using one intermediate layer in all conditions is not enough to achieve the best results. Generally, hybrid model of wavelet - Adaptive Neural Fuzzy Interference System have better performance in estimation of the extent points and it is better method for prediction of Gamasyab River flow. UR - https://www.ijabbr.com/article_7376.html L1 - https://www.ijabbr.com/article_7376_223b395b24da5cdb15ed245f29964b99.pdf ER -