Stage-discharge modeling using support vector machines

International Journal of Engineering, Transactions A: Basics

Volumn 25, Issue 1, 2012, Pages 1-9

  Goel, A ^a   Pal, M ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Hysteresis modelling; Neural network; Rating curve; Support vector machines

Indexed keywords

ALGORITHMS; HYSTERESIS; NEURAL NETWORKS; RATING; REGRESSION ANALYSIS; RIVERS; STREAM FLOW;

BACK PROPAGATION NEURAL NETWORKS; CONVENTIONAL APPROACH; DATA SETS; HYSTERESIS EFFECT; HYSTERESIS MODELLING; INDIAN RIVERS; MODELLING TECHNIQUES; NEURAL NETWORK TECHNIQUES; RATING CURVE; STAGE-DISCHARGE; STAGE-DISCHARGE RELATIONS; SUPPORT VECTOR;

SUPPORT VECTOR MACHINES;

EID: 84857263727     PISSN: 17281431     EISSN: 17359244     Source Type: Journal    
DOI: 10.5829/idosi.ije.2012.25.01a.01     Document Type: Article

References (18)

1. ASCE task committee on application of ANNs in Hydrology, "Artificial neural networks in hydrology, II: hydrologic applications", Journal of Hydraulic Engineering, ASCE, Vol. 5, (2000). No. 2, 124-137.
2. Tawfik, M., Ibrahim, A. and Fahmy, H., "Hysteresis sensitive neural network for modelling rating curves", Journal of Computing in Civil Engineering, Vol. 11, No. 3, (1997), 206-211.
3. Bhattacharya, B. and Solomatine, D.P., "Application of artificial neural network in stage discharge relationship", Proceedings of 4th International Conference on Hydro informatics, (2000). Iowa, USA.
4. Jain, S. K. and Chalisgaonkar, D., "Setting up stage discharge relations using ANN", Journal of Hydrologic Engineering, Vol. 5, No.4, (2000), 428-433.
5. Sudheer, K. P. and Jain, S.K., "Radial basis function neural network for modelling rating curves", Journal of Hydrologic Engineering, Vol 8, No.3, (2003), 161-164. (Pubitemid 36608241)
6. Olerleir, A.P., "Modelling stage discharge relationships affected by hysterisis using the Jones formula and non linear regression", Hydrological Sciences Journal, Vol. 51, No. 3, (2006), 365-388.
7. Bist, D.C.S., Raju, M.M. and Joshi, M. M., "ANN based river stage discharge modeling for Godavari river, India", Computer Modelling and New Technologies, Vol. 14, No. 3, (2010), 48-62.
8. Bist, D.C.S. and Jangid, A., "Discharge modeling using Adaptive neuro fuzzy inference system", International Journal of Advanced Science and Technology, Vol. 31, (2011).
9. Pal, M. and Goel, A., "Prediction of the End depth ratio and discharge in semi circular and circular shaped channels using support vector machines", Flow Measurement and Instrum, Vol. 17, (2006). 50-57.
10. Gill, M. K., Tirusew, A. Mariush, W. K. and Mac, M., "Soil moisture prediction using Support Vector Machines", Journal of the American Water Resources Association, Vol. 42, (2006) No.4, 1033-1046. (Pubitemid 44870396)
11. Khan, M. S. and Coulibaly, P., "Application of support vector machine in lake water level prediction", Journal of Hydrologic Engineering, Vol. 11, (2006). No.3, 199-205.
12. Yu, P-S., Shien, T. C. and I-Fan, C., "Support vector regression for real time flood stage forecasting", Journal of Hydrology, Vol. 328, (2006). 704-716. (Pubitemid 44188765)
13. Pal M. and Goel, A., "Prediction of End-Depth-Ratio and Discharge in Trapezoidal shaped channels using Support Vector Machines", Water Resource Management, Vol. 21, (2007). 1763-1780. (Pubitemid 47377591)
14. Goel, A. and Pal, M., "Application of support vector machines in scour prediction on grade-control structures", Engineering Applications of Artificial Intelligence, Vol. 22, No. 2, (2009). 216-223.
15. Vapnik, V. N., The Nature of Statistical Learning Theory, New York, Springer-Verlag, (1995).
16. Smola, A. J., Regression estimation with support vector learning machines, Master's Thesis, Technische Universität München, Germany, (1996).
17. Cortes, C. and Vapnik, V.N., "Support vector networks", Machine Learning, Vol. 20, (1995), 73-297.
18. Leunberger, D., Linear and nonlinear programming, Amazon, (1984).