Developing a hybrid multi-model for peak flood forecasting

The present study aims to develop a hybrid multi-model using the soft computing approach. The model is a combination of a fuzzy logic, artificial neural network (ANN) and genetic algorithm (GA). While neural networks are low-level computational structures that perform well dealing with raw data, fuz...

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Veröffentlicht in:	Hydrological processes 2009-06, Vol.23 (12), p.1725-1738
Hauptverfasser:	Chidthong, Yupa, Tanaka, Hitoshi, Supharatid, Seree
Format:	Artikel
Sprache:	eng
Schlagworte:	Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Freshwater fuzzy logic genetic algorithm hybrid multi-model Hydrology Hydrology. Hydrogeology Natural hazards: prediction, damages, etc neural network soft computing
Online-Zugang:	Volltext
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