Design flood estimation in ungauged catchments using genetic algorithm-based artificial neural network (GAANN) technique for Australia

Author:

Aziz K.,Rai Sohail,Rahman A.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Reference74 articles.

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2. Abrahart RJ, Kneale PE, See L (eds) (2004) Neural networks for hydrological modelling. Taylor & Francis, London

3. Abrahart RJ, Heppenstall AJ, See LM (2007) Timing error correction procedure applied to neural network rainfall-runoff modelling. Hydrol Sci J 52(3):414–431

4. Arthur LC, Roger LW (1995) LibGA for solving combinatorial optimization problems. In: Chambers L (ed) Practical handbook of genetic algorithms. CRC Press Inc, Boca Raton

5. Aziz K, Rahman A, Shrestha S and Fang G (2011) Derivation of optimum regions for ANN based RFFA in Australia, 34th IAHR World Congress, Brisbane, 26 June–1 July 2011, 17–24

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