Abstract
In terms of an Artificial Neural Network (ANN) established is a long-term prediction model for June–August flood/drought in the Changjiang-Huaihe Basins and a regression forecasting expression is formulated with the aid of the same factors and sample size for comparison. Results show that the ANN is superior in predictions and fittings due to its higher self-adaptive learning recognition and nonlinear mapping especially in the years of severe flood and drought. This shows great promise in using ANN in the research of flood/drought prediction on a long-range basis.
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The work is supported by the Natural Science Foundation of Jiangsu Province.
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Long, J., Ying, L. & Zhenshan, L. Comparison of long–term forecasting of June–August rainfall over changjiang–huaihe valley. Adv. Atmos. Sci. 14, 87–92 (1997). https://doi.org/10.1007/s00376-997-0047-4
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DOI: https://doi.org/10.1007/s00376-997-0047-4