Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN

Author:

Pektas Ali Osman,Erdik Tarkan

Publisher

Springer Science and Business Media LLC

Subject

Civil and Structural Engineering

Reference40 articles.

1. ASCE/EWRI Task Committee on Dam/Levee Breachin. (2011). “Earthen embankment breaching.” J. Hydraul. Eng., Vol. 137, No. 12, pp. 1549–1564, DOI: 10.1061/(ASCE)HY.1943-7900.0000498 .

2. Baker, S., Ponniah, D., and Smith, S. (1999). “Survey of risk management in major U.K. companies.” Journal of Professional Issues in Engineering Education and Practice, Vol. 125, No. 3, pp. 94–102.

3. Bourdes, V., Bonnevay, S., Lisboa, P., Defrance, R., Perol, D., Chabaud, S., Bachelot, T., Gargi, T., and Negrier, S. (2010). “Comparison of artificial neural network with logistic regression as classification models for variable selection for prediction of breast cancer patient outcomes.” Advances in Artificial Neural Systems, Vol. 2010, Article ID 309841, p. 10, DOI: 10.1155/2010/309841 .

4. Cacuci, D. G., Ionescu-Bujor, M., and Navon, I. M. (2005). Sensitivity and uncertainty analysis: Applications to large-scale systems, CRC Press LLC, Boca Raton.

5. Costa, J. E. (1985). Floods from dam failures, U.S. Geological Survey Open-File Rep, No. 85-560, U.S. Geological Survey Denver, Colo.

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