Methods to improve neural network performance in daily flows prediction
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference40 articles.
1. The analysis of observed chaotic data in physical systems;Abarbanel;Rev. Mod. Phys.,1993
2. Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments;Abrahart;Hydrol. Earth Syst. Sci.,2002
3. Artificial neural networks in hydrology. II: Hydrologic applications;ASCE Task Committee on Application of the Artificial Neural Networks in Hydrology;J. Hydrol. Eng., ASCE,2000
4. Input determination for neural network models in water resources applications: part 1 – background and methodology;Bowden;J. Hydrol.,2005
5. Modeling of the monthly and daily behavior of the runoff of the Xallas river using Box–Jenkins and neural networks methods;Castellano-Méndeza;J. Hydrol.,2004
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