[1]
|
Bezdeck, J.C, “Pattern recognition with fuzzy objective function algorithm”, Plenum press, New York,1967.
|
[2]
|
Bruen,M. and Yang,J., “Functional networks in real-time flood forecasting-a novel application.” Journal of Advances in Water Resources, Vol.28, No.9,2005, pp.899-909.
|
[3]
|
Campolo M., Andreeussi P. and Soldati A., “River flood forecasting with a neural network model”. Water resources research, Vol.35, No.4, 1999, pp.1191-1197.
|
[4]
|
Campolo M., Soldati A. and Andreeussi P., “Artificial neural network approach to flood forecasting in the River Arno”. Hydrological Sciences Journal, Vol.48, No.4, 2003, pp.381-398.
|
[5]
|
Central Water Commission of India, “Manual on flood forecasting”, 1980
|
[6]
|
Coulibaly, P., Anctil, F. and Bobee, B., “Daily reservoir inflow forecasting using artificial neural network with stopped training approach”, Journal of Hydrology,Vol.230,No.(3-4),2000,pp.244-257.
|
[7]
|
Cybenko, G., “Approximation by superposition of a sigmoidal function”, Journal of Math. control signal system, Vol.2,1989,pp.303-314.
|
[8]
|
Dawson, C.W. and Wilby, R.L., “Hydrological modeling using ANN, Progress in physical geography”, Vol.25, No.1, 2001,pp.80-208.
|
[9]
|
Dharmasena, G.T., “Application of mathematical models for flood forecasting in Sri Lanka, Destructive water: Water caused natural disasters, their abatement and control ,” (Proceeding of the conference held at Anaheim, California, June 1996,IAHS Publ.No.239,1997.
|
[10]
|
Ghosh, S.N, “Flood control and drainage engineering” (Text book), 1997.
|
[11]
|
Haykin. S., “Neural networks”, Macmillan college publishing company, Engelwood Cliffs, NJ, 1994.
|
[12]
|
Hornick, K., Stinchcombe, M. and White, H., “Multilayer feed forward networks are universal approximators”, Neural networks.Vol.2, No. 5, 1989, pp.359-366.
|
[13]
|
Imrie, C.E., Durucan, S. and Korre, A., “River flow prediction using artificial neural network: Generalization beyond the calibration range”, Journal of Hydrology,Vol.233,No.1-4,pp.138-153.
|
[14]
|
Karunanithi, N., Granny, W.J, Whitely,D. and Bovee, K., “Neural networks for river flow prediction”, Journal of computing in Civil Engineering,ASCE,Vol.8,No.2,1994,pp.201-220.
|
[15]
|
K-means,2009, Internet available: http://biocomp.bioen.uiuc.edu/oscar/tools/kmeans.html
|
[16]
|
Lekkas, D.F., Onof, C., Lee, M.J. and Baltas, E.A., “Application of neural networks for flood forecasting”, Global Nest: the Int. Journal. Vol.6, No.3, 2004, pp.205-211.
|
[17]
|
Lohani, A.K, “ANN and Fuzzy logic in hydrological modeling and flow forecasting”, Ph.D thesis, Indian Institute of Technology,Roorkee,2007.
|
[18]
|
MacQueen,J.B., “Some methods for classification of multivariate observation,”Proceeding of 5th Berkely Symp. on Probability and Statistics, University of California Press, Berkely,1967,pp.281-297.
|
[19]
|
Minns, A. W., and Hall, M. J. (1996) “Artificial neural networks as rainfall-runoff models”, Hydrol. Sci. J., Vol. 41(3), pp. 399-417
|
[20]
|
Muhamad, J.R. and Hassan, J.N., “Khabur river flow modeling using artificial neural network”. Al_ Rafidain Engineering., Vol.13, No.2, 2005, pp.33-42.
|
[21]
|
Priddy, L.K. and Keller, E.P., “Artificial neural networks, an introduction”, SPIE Press, Bellingham, Washington, 2005.
|
[22]
|
Solomatine, D.P. and Xue, Y., “M5 model trees and neural networks: application to flood forecasting in the upper reach of the Huai river in China”, Journal of Hydrologic Engineering, Vol.9, No. (6),2004, pp.491-501.
|
[23]
|
Solomatine, D.P. and Price R.K., “Innovative approaches to flood forecasting using data driven and hybrid modeling, 6th International Conference on Hydroinformatics – Liong”.
|
[24]
|
Spokkereff, E., “Flood forecasting for the river Rhine in the Netherlands”, The extreme of extremes: Extraordinary floods, (Proceeding of the symposium, Reykjavic, Ireland), IAHS Publ. No.271, 2002, pp.347-352.
|
[25]
|
Water Resources Department, Government of Orissa, “Time of Flow in Mahanadi River between Hirakud & Mundali” 2009. Internet available :http://www.dowrorissa.gov.in/Flood/DailyFloodBulletin.htm,
|
[26]
|
World Meteorological Organization (WMO),”Guide for hydrological practices”, Geneva, Switzerland, 1994.
|
[27]
|
Xiongrui, Y., Jun, X. and Xiang, Z., “Flood forecasting by coupling clustering methods and artificial neural networks”, Proceeding of symposium HS 3006,IUGG, Perugia,Italy,2007.
|
[28]
|
Zealand, C.M, Burn, D.H. and Simonovic, S.P., “Short term streamflow forecasting using artificial neural network”, Journal of Hydrology, Vol.214,1999, pp.32-48.
|
[29]
|
Zhang, J. and Hall, M. J., “Regional flood frequency analysis for the Gan-Ming river basin in China”, Journal of Hydrology, Vol. 296, No.(1-4),2004,pp.98-117.
|
[30]
|
Mukerjee, A., Chatterji, C., Singh, N. and Raghuvanshi, N.S., ”Flood forecasting using ANN, Neuro-Fuzzy and Neuro-GA models”,Vol.14,No.6,2009,pp.647-652.
|
[31]
|
Neural network toolbox, Matlab,2004.
|