An Application of Data Mining and Machine Learning for Weather Forecasting
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-60663-7_16
Reference13 articles.
1. Xiong, L., O’Connor, K.M.: An empirical method to improve the prediction limits of the glue methodology in rainfall–runoff modeling. J. Hydrol. 349(1), 115–124 (2008)
2. Wu, J., Huang, L., Pan, X.: A novel Bayesian additive regression trees ensemble model based on linear regression and nonlinear regression for torrential rain forecasting. In: Third International Joint Conference on Computational Science and Optimization (CSO), vol. 2, pp. 466–470 (2010)
3. Wu, J., Chen, E.: A novel nonparametric regression ensemble for rainfall forecasting using particle swarm optimization technique coupled with artificial neural network. In: 6th International Symposium on Neural Networks, pp. 49–58 (2009)
4. Lin, G.F., Chen, L.H.: Application of an artificial neural network to typhoon rainfall forecasting. Hydrol. Process. 19(9), 1825–1837 (2005)
5. Hong, W.C.: Rainfall forecasting by technological machine learning models. Appl. Math. Comput. 200(1), 41–57 (2008)
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