Selection and Prediction of Earthquake Casualties Related Factors Based on BP Neural Network Analysis
2014 ◽
Vol 543-547
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pp. 2084-2088
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Keyword(s):
To reduce the prediction error rate of earthquake casualties, the paper proposed a prediction model with two steps: (1) screening of the earthquake casualties correlation factors; (2) improving the predictive veracity of general BP(Back Propagation) neural network model.By the analysis of 9 kinds of correlation factors, the paper established the MIV(Mean Impact Value) model based on BP neural network to screen the final correlation factors, and the paper got 6 main correlation factors according to the size of output weights of the factors. Finally, the paper verified the accuracy and practicability of the model through the validation of the model and the solving of prediction error of relevant factors hasn't been selected.
2013 ◽
Vol 333-335
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pp. 2469-2474
2014 ◽
Vol 926-930
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pp. 610-614
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2013 ◽
Vol 433-435
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pp. 685-690
Keyword(s):
2014 ◽
Vol 989-994
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pp. 2629-2633
2013 ◽
Vol 753-755
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pp. 3080-3083