River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches
作者： Hadi Sanikhani , Ozgur Kisi
DOI: 10.1007/S11269-012-9982-7
关键词: Estimation 、 Meteorology 、 Streamflow 、 Hydrogeology 、 Environmental science 、 Neuro-fuzzy 、 Adaptive neuro fuzzy inference system 、 Grid partition 、 Cluster analysis
摘要: This paper demonstrates the application of two different adaptive neuro-fuzzy (ANFIS) techniques for estimation monthly streamflows. In first part study, ANFIS models, namely with grid partition (ANFIS-GP) and sub clustering (ANFIS-SC), were used in one-month ahead streamflow forecasting results evaluated. Monthly flow data from stations, Besiri Station on Garzan Stream Baykan Bitlis Firat-Dicle Basin Turkey study. The effect periodicity model’s performance was also investigated. second tested using nearby river. indicated that ANFIS-SC model slightly better than ANFIS-GP forecasting.
springer.com
sci-hub.se 参考文章(41)
P. Coulibaly, F. Anctil, B. Bobée, Daily reservoir inflow forecasting using artificial neural networks with stopped training approach Journal of Hydrology. ,vol. 230, pp. 244- 257 ,(2000) , 10.1016/S0022-1694(00)00214-6
J.-S.R. Jang, ANFIS: adaptive-network-based fuzzy inference system systems man and cybernetics. ,vol. 23, pp. 665- 685 ,(1993) , 10.1109/21.256541
Nachimuthu Karunanithi, William J. Grenney, Darrell Whitley, Ken Bovee, Neural Networks for River Flow Prediction Journal of Computing in Civil Engineering. ,vol. 8, pp. 201- 220 ,(1994) , 10.1061/(ASCE)0887-3801(1994)8:2(201)
Kuo‐lin Hsu, Hoshin Vijai Gupta, Soroosh Sorooshian, None, Artificial Neural Network Modeling of the Rainfall‐Runoff Process Water Resources Research. ,vol. 31, pp. 2517- 2530 ,(1995) , 10.1029/95WR01955
Özgür Kişi, None, River flow forecasting and estimation using different artificial neural network techniques Hydrology Research. ,vol. 39, pp. 27- 40 ,(2008) , 10.2166/NH.2008.026
Manish Kumar Goyal, C. S. P. Ojha, Estimation of Scour Downstream of a Ski-Jump Bucket Using Support Vector and M5 Model Tree Water Resources Management. ,vol. 25, pp. 2177- 2195 ,(2011) , 10.1007/S11269-011-9801-6
G.Ranci Ortigosa, G.A De Leo, M Gatto, VVF: integrating modelling and GIS in a software tool for habitat suitability assessment Environmental Modelling and Software. ,vol. 15, pp. 1- 12 ,(2000) , 10.1016/S1364-8152(99)00029-8
Amin Talei, Lloyd Hock Chye Chua, Tommy S.W. Wong, Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modeling Journal of Hydrology. ,vol. 391, pp. 248- 262 ,(2010) , 10.1016/J.JHYDROL.2010.07.023
Aytac Guven, Necip Ersin Talu, Gene Expression Programing for Estimating Suspended Sediment Yield in Middle Euphrates Basin, Turkey CLEAN - Soil, Air, Water. ,vol. 38, pp. 1159- 1168 ,(2010) , 10.1002/CLEN.201000003
Li-Chiu Chang, Fi-John Chang, Intelligent control for modelling of real‐time reservoir operation Hydrological Processes. ,vol. 15, pp. 1621- 1634 ,(2001) , 10.1002/HYP.226