Summer Precipitation Forecast Using an Optimized Artificial Neural Network with a Genetic Algorithm for Yangtze-Huaihe River Basin, China

Owing to the complexity of the climate system and limitations of numerical dynamical models, machine learning based on big data has been used for climate forecasting in recent years. In this study, we attempted to use an artificial neural network (ANN) for summer precipitation forecasts in the Yangt...

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Vydané v:	Atmosphere Ročník 13; číslo 6; s. 929
Hlavní autori:	Zhang, Zhi-Cheng, Zeng, Xin-Min, Li, Gen, Lu, Bo, Xiao, Ming-Zhong, Wang, Bing-Zeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2022
Predmet:	Algorithms Artificial intelligence artificial neural network Artificial neural networks Atmospheric circulation Atmospheric models Back propagation Back propagation networks Big Data Climate Climate models Climate system Coefficients Correlation coefficient Correlation coefficients Dynamic models genetic algorithm Genetic algorithms Machine learning Modelling Monthly precipitation Neural networks Precipitation Precipitation forecasting River basins Rivers Sea surface Sea surface temperature Summer Summer precipitation summer precipitation forecast Support vector machines Surface temperature Training Weather forecasting Yangtze-Huaihe River Basin China Huaihe River
ISSN:	2073-4433, 2073-4433
On-line prístup:	Získať plný text
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