Development of a sequential Artificial Neural Network for predicting river water levels based on Brahmaputra and Ganges water levels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-015-1871-6.pdf
Reference25 articles.
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2. ASCE: Task Committee on Application of Artificial Neural Networks in Hydrology (2000) Artificial neural networks in hydrology. I: preliminary concepts. J Hydrol Eng 5:115–123
3. Brath A, Rosso R (1993) Adaptive calibration of a conceptual model for flash flood forecasting. Water Resour Res 29:2561–2572
4. Brath A, Montanari A, Toth E (2002) Neural networks and nonparametric methods for improving real-time flood forecasting through conceptual hydrological models, Hydrol Earth Syst Sci 6:627–639. http://www.hydrol-earth-syst-sci.net/6/627/2002/
5. Bowden GJ, Dandy GC, Maier HR (2005) Input determination for neural network models in water resources applications. Part 1—background and methodology. J Hydrol 301:93–107
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