STUDY ON MIXED MODEL OF NEURAL NETWORK FOR FARMLAND FLOOD/DROUGHT PREDICTION* |
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| Authors: | Jin Long Luo Ying Guo Guang and Lin Zhenshan |
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| Institution: | Jiangsu Meteorological Institute, Nanjing 210008;Jiangsu Institute of Climate Application, Nanjing 210009;Nanjing Institute of Meteorology, Nanjing 210044;Department of Atmospheric Sciences, Nanjing University, Nanjing 210093 |
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| Abstract: | The paper concerns a flood/drought prediction model involving the continuation of time series of a predictand and the physical factors influencing the change of predictand.Attempt is made to construct the model by the neural network scheme for the nonlinear mapping relation based on multi-input and single output.The model is found of steadily higher predictive accuracy by testing the output from one and multiple stepwise predictions against observations and comparing the results to those from a traditional statistical model. |
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| Keywords: | flood/drought prediction mixed model nonlinear mapping soil humidity neural network |
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