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Desalination and Water Treatment Volume 52, 2014 - Issue 10-12
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Articles

Adaptive neural fuzzy inference systems for the daily flow forecast in Algerian coastal basins

Moussaab ZakhroufFaculty of Engineering Science, Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Amar Telidji University, P.O. Box 37.G, Laghouat03000, AlgeriaTel. +213 29 93 17 91; Fax: +213 29 93 26 98
,
Mohamed ChettihFaculty of Engineering Science, Research Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Amar Telidji University, P.O. Box 37.G, Laghouat03000, AlgeriaTel. +213 29 93 17 91; Fax: +213 29 93 26 98Correspondence[email protected]
&
Mohamed MesbahFaculty of Earth Science, Department of Geology, University Houari Boumediene of Science and Technology, P.O. Box 32, El Alia, Bab Ezzouar, Algiers, Algeria
Pages 2131-2138 | Received 10 Jan 2013, Accepted 01 Dec 2013, Published online: 19 Dec 2013

References

  • V. Fortin, T.B.M.J. Ouarda, P.F. Rasmussen, B. Bobée, A review of streamflow forecasting methods, Rev. Sci. Eau 4 (1997) 461–487.
  • B. Sivakumar, R. Berndtsson, J. Olsson, K. Jinno, Evidence of chaos in the rainfall–runoff process, Hydrol. Sci. J. 46 (2001) 131–145.
  • J.S. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybern. 23 (1993) 665–685.
  • M. Aqil, I. Kita, A. Yano, S. Nishiyama, A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff, J. Hydrol. 337 (2007) 22–34.
  • A. Nasr, M. Bruen, Development of neuro-fuzzy models to account for temporal and spatial variations in a lumped rainfall–runoff model, J. Hydrol. 349 (2008) 277–290.
  • A. Talei, L.H.C Chua, T.S.W. Wong, Evaluation of rainfall and discharge inputs used by adaptive network-based fuzzy inference systems (ANFIS) in rainfall–runoff modeling, J. Hydrol. 391 (2010) 248–262.
  • M. Dastorani, A. Moghadamnia, J. Piri, M. Rico-Ramirez, Application of ANN and ANFIS models for reconstructing missing flow data, Environ. Monit. Assess. 166 (2010) 421–434.
  • J.S. Jang, Rule extraction using generalized neural networks, Proceedings of the Fourth IFSA World Congress, Artificial Intelligence 4 (1991) 82–86.
  • T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cybern. SMC–15 (1985) 116–132.
  • M. Sugeno, G. Kang, Fuzzy modelling and control of multilayer incinerator, Fuzzy Sets Syst. 18 (1986) 329–345.
  • Y. Komori, A neural fuzzy training approach for continuous speech recognition improvement, A, IEEE 1 (1992) 405–408.
  • R.J. Abrahart, P.E. Kneale, L.M. See, Neural Networks for Hydrological Modelling, Taylor & Francis, Hoboken, NJ, 2004, p. 304.
  • P.C. Nayak, K.P. Sudheer, D.M. Rangan, K.S. Ramasastri, A neuro-fuzzy computing technique for modeling hydrological time series, J. Hydrol. 291 (2004) 52–66.
  • D.K. Gautan, K.P. Holz, Rainfall-runoff modeling using adaptive neuro-fuzzy systems, J. Hydroinfo. 03(1) (2001) 3–10.
  • A.K. Lohani, N.K. Goel, K.K.S. Bhatia, Takagi–Sugeno fuzzy inference system for modeling stage-discharge relationship, J. Hydrol. 331 (2006) 146–160.

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