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《Environmental Science and Management》 2015-06
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Application of BP Neural Network in Environmental Meteorological Disasters Prediction in Hunan Province

Huang Hui;Dong Xiaowei;Zhu Xiaodong;State Key Laboratory of Pollution Control and Resources Reuse,School of Environment,Nanjing University;  
Using the latest predicting method of artificial neural network,this study builds up the topology of BP Neural Network based on data from Hunan Statistical Yearbook and other relevant sources. The program was simulated with Mat lab. The paper also establishes the Multiple Elements Linear Regression Model and ran in SPSS to predict the disasters. A comparison were made to analyze on the results of the two different models. The results show that BP neural network outperforms Multiple Elements Linear Regression Model in prediction for flood and drought disasters. But the BP neural network underperformed Multiple Elements Linear Regression Model in predicting snow disaster and economy losses due to the lack of sufficient data inputs.
【CateGory Index】: TP183
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Chinese Journal Full-text Database 8 Hits
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