Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
Author:
Funder
Xunta de Galicia
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05601-3.pdf
Reference60 articles.
1. Refsgaard JC, Storm B (1990) Construction, calibration and validation of hydrological models. In Distributed hydrological modelling, pp 41–54. Springer
2. Jin Xiaoli, Chong-Yu Xu, Zhang Qi, Singh VP (2010) Parameter and modeling uncertainty simulated by glue and a formal bayesian method for a conceptual hydrological model. J Hydrol 383(3–4):147–155
3. Yang T, Hsu K, Duan Q, Sorooshian S, Wang C (2018) Method to estimate optimal parameters. Handbook of hydrometeorological ensemble forecasting
4. Huo Jiuyuan, Liu Liqun (2019) Application research of multi-objective artificial bee colony optimization algorithm for parameters calibration of hydrological model. Neural Comput Appl 31(9):4715–4732
5. Kavetski D (2018) Parameter estimation and predictive uncertainty quantification in hydrological modelling. In Handbook of hydrometeorological ensemble forecasting, Springer
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