Articles | Volume 15, issue 1
Hydrol. Earth Syst. Sci., 15, 185–196, 2011
https://doi.org/10.5194/hess-15-185-2011
Hydrol. Earth Syst. Sci., 15, 185–196, 2011
https://doi.org/10.5194/hess-15-185-2011

Research article 19 Jan 2011

Research article | 19 Jan 2011

Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks

Y.-M. Chiang et al.

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Subject: Urban Hydrology | Techniques and Approaches: Modelling approaches
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Cited articles

Abrahart, R. J. and See, L.: Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments, Hydrol. Earth Syst. Sci., 6, 655–670, https://doi.org/10.5194/hess-6-655-2002, 2002.
Brath, A., Montanari, A., and Toth, E.: Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models, Hydrol. Earth Syst. Sci., 6, 627–639, https://doi.org/10.5194/hess-6-627-2002, 2002.
Chang, F. J. and Chang, Y. T.: Adaptive neuro-fuzzy inference system for prediction of water level in reservoir, Adv. Water Res., 29(1), 1–10, 2006.
Chang, F. J. and Chen, Y. C.: A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction, J. Hydrol., 245(1–4), 153–164, 2001.
Chang, F. J., Chang, K. Y., and Chang, L. C.: Counterpropagation fuzzy-neural network for city flood control system, J. Hydrol., 358(1–2), 24–34, 2008.