An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction

Accurate daily precipitation prediction is crucially important. However, it is difficult to predict the precipitation accurately due to inherently complex meteorological factors and dynamic behavior of weather. Recently, considerable attention has been devoted in soft computing-based prediction appr...

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Vydáno v:	International journal of computational intelligence systems Ročník 12; číslo 2; s. 1512 - 1525
Hlavní autoři:	Peng, Yuzhong, Zhao, Huasheng, Zhang, Hao, Li, Wenwei, Qin, Xiao, Liao, Jianping, Liu, Zhiping, Li, Jie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.01.2019 Springer Nature B.V Springer
Témata:	Artificial neural networks Errors Extreme Learning Machine Gene expression Gene Expression Programming Machine learning Modelling Precipitation Quantitative precipitation prediction Rainfall Rainfall prediction Regional development Research Article Soft computing Weather Gene Expression Programming Extreme Learning Machine Soft computing Quantitative precipitation prediction Rainfall prediction
ISSN:	1875-6891, 1875-6883, 1875-6883
On-line přístup:	Získat plný text
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