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Jun 14, 2002
Discussion of “Training Artificial Neural Networks to Perform Rainfall Disaggregation” by Steven J. Burian, S. Rocky Durrans, Stephan J. Nix, and Robert E. Pitt
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VIEW THE REPLYPublication: Journal of Hydrologic Engineering
Volume 7, Issue 4
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References
Burian, S. J., Durrans, S. R., Tomic, S., Pimmel, R. L., and Wal, C. N.(2000). “Rainfall disaggregation using artificial neural networks,” J. Hydrologic Eng., 5(3), 299–307.
Burian, S. J., Durrans, S. R., Nix, S. J., and Pitt, R. E.(2001). “Training artificial neural networks to perform rainfall disaggregation,” J. Hydrologic Eng., 6(1), 43–51.
Maier, H. R., and Dandy, G. C. (2000). “Application of artificial neural networks to forecasting of surface water quality variables, applications and challenges,” Artificial neural networks in hydrology, R. S. Govindaraju and A. Ramachandra Rao, eds., Kluwer Academic, Boston.
Salas, J. D., Delleur, J. W., Yevjevich, V., and Land, W. L. (1980). Applied modeling of hydrologic time series, Water Resources Publications, Littleton, Colo.
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Published online: Jun 14, 2002
Published in print: Jul 2002
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Ramesh S. V. Teegavarapu
Dept. of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506.
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