A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-01513-7_6
Reference18 articles.
1. Hong, W.C.: Rainfall Forecasting by Technological Machine Learning Models. Applied Mathematics and Computation 200, 41–47 (2008)
2. Luk, K.C., Ball, J.E., Sharma, A.: An Application of Artificial Neural Networks for Rainfall Forecasting. Mathematical and Computer Modelling 33, 683–693 (2001)
3. Nasseri, M., Asghari, K., Abedini, M.J.: Optimized Scenario for Rainfall Forecasting Using Genetic Algorithm Coupled with Artificial Neural Network. Expert Systems with Application 35, 1414–1421 (2008)
4. Hsieh, W., Tang, B.: Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography. Bull. Am. Meteorol, Soc. 79, 1855–1870 (1998)
5. Valverde, M.C., Campos Velho, H.F., Ferreira, N.J.: Artificial Neural Network Technique for Rainfall Forecasting Applied to the Sö Paulo Region. Journal of Hydrology 301(1-4), 146–162 (2005)
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