کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4464503 | 1621736 | 2006 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Application of artificial neural networks to the prediction of dust storms in Northwest China Application of artificial neural networks to the prediction of dust storms in Northwest China](/preview/png/4464503.png)
Artificial neural networks (ANN) are non-linear mapping structures analogous to the functioning of the human brain. In this study, we take the ANN approach to model and predict the occurrence of dust storms in Northwest China, by using a combination of daily mean meteorological measurements and dust storm occurrence. The performance of the ANN model in simulating dust storm occurrences is compared with a stepwise regression model. The correlation coefficients between the observed and the estimated dust storm occurrences obtained from the neural network procedure are found to be significantly higher than those obtained from the regression model with the same input data. The prediction tests show that the ANN models used in this study have the potential of forecasting dust storm occurrence in Northwest China by using conventional meteorological variables.
Journal: Global and Planetary Change - Volume 52, Issues 1–4, July 2006, Pages 216–224