ANFIS-based approach for predicting sediment transport in clean sewer

Applied Soft Computing Journal

Volumn 12, Issue 3, 2012, Pages 1227-1230

  Azamathulla, H Md ^a   Ab Ghani, Aminuddin ^a   Fei, Seow Yen ^b  

^a RIVER ENGINEERING AND URBAN DRAINAGE RESEARCH CENTRE REDAC   (Malaysia)

^b SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

ANFIS; Regression analysis; Sediment transport; Sewer pipes; Sewer sediments

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ALTERNATIVE APPROACH; ANFIS; COMBINATION OF NEURAL-NETWORK; FUNCTIONAL RELATIONSHIP; SEWAGE SYSTEM; SEWER PIPES; SEWER SEDIMENTS;

ANOXIC SEDIMENTS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SYSTEMS; NEURAL NETWORKS; REGRESSION ANALYSIS; SEDIMENT TRANSPORT; SEDIMENTATION; SEDIMENTOLOGY; SEWAGE;

SEWERS;

EID: 84855985774     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.12.003     Document Type: Article

References (15)

1. C. Nalluri, A.A. Ghani, and A.K.S. El-Zaemey Sediment transport over deposited beds in sewers Water Science and Technology 29 1-2 1994 125 133
2. R.W.P. May, J.C. Ackers, D. Butler, and S. John Development of design methodology for self-cleansing sewers Water Science and Technology 33 9 1996 195 205 (Pubitemid 26232149)
3. R. Mayerle, C. Nalluri, and P. Novak Sediment transport in rigid bed conveyances Journal of Hydraulic Research 29 4 1991 475 496
4. N. Vongvisessomjai, T. Tingsanchali, and M.S. Babel Non-deposition design criteria for sewers with part-full flow Urban Water Journal 7 1 2010 61 77
5. American Society of Civil Engineers (ASCE), Water Pollution Control Federation, Design and Construction of Sanitary and Storm Sewers. American Society of Civil Engineers Manuals and Reports on Engineering Practices, No. 37, 1970.
6. A. Ab Ghani, Sediment Transport in Sewers, Ph.D. Thesis, University of Newcastle Upon Tyne, UK, 1993.
7. H. Cigizoglu Suspended sediment estimation for rivers using artificial neural networks and sediment rating curves Turkish Journal of Engineering Environmental Sciences 26 1 2002 27 36 (Pubitemid 34137611)
8. E. Dogan, S. Tripathi, D.A. Lyn, and R.S. Govindaraju From flumes to rivers: can sediment transport in natural alluvial channels be predicted from observations at the laboratory scale? Water Resources Research 114 2009 W08433 10.1029/2008WR007637
9. O. Kisi Suspended sediment estimation using neuro-fuzzy and neural network approaches? Hydrological Science 50 4 2005 683 696 (Pubitemid 41057429)
10. C.T. Yang, M. Reza, and M.T. Aalami Evaluation of total load sediment transport using AAN International Journal of Sediment Research 24 3 2009 274 286
11. H.M. Nagy, K. Watanabe, and M. Hirano Prediction of sediment load concentration in rivers using artificial neural network model Journal of Hydraulic Engineering 128 6 2002 588 595 (Pubitemid 34724746)
12. A. Ab Ghani, and H.Md. Azamathulla Gene-expression programming for sediment transport sewer pipe systems ASCE Journal of Pipeline Systems Engineering and Practice 2 3 2011 102 106
13. C. Nalluri, and A. Ab Ghani Design options for self-cleansing storm sewers Journal of Water Science and Technology, IWA 33 9 1996 215 220 (Pubitemid 26232151)
14. J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference system IEEE Transactions on Systems, Man, and Cybernetics 23 3 1993 665 685
15. Fuzzy Logic Toolbox 2 User's Guide 1995-2007 http://Mathwork.com