ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 29 Issue 12 > 2003,29(12):14-17. DOI:10.7519/j.issn.1000-0526.2003.12.003 Prev Next
Study on Late-summer Drought Prediction Model in Chongqing with BP Neural Network
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Abstract:
The late-summer drought indexes are defined by using meteorological elements. And the variations of late summer drought in Chongqing is made with analysis of wavelet. The late summer drought prediction model based on BP neural network is established, too. The results show that the variations of late-summer drought in Chongqing contain obvious periodic features. The model is a superior and useful one for the actual operational forecasting.
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