[1]ZHANG Kun,DING Xin-xin,HONG Wei,et al.Application of Prediction for Rainfall Erosivity Based on BP Neural Network[J].Research of Soil and Water Conservation,2009,16(01):43-46.
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Application of Prediction for Rainfall Erosivity Based on BP Neural Network
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
16
Number of periods:
2009 01
Page number:
43-46
Column:
Public date:
2009-02-20
- Title:
- Application of Prediction for Rainfall Erosivity Based on BP Neural Network
- CLC:
- S157.1
- DOI:
- -
- Abstract:
- Rainfall erosivity reflects the potential ability of the soil loss caused by rainfall and it is very important for predicting soil loss quantitatively.It is difficult to calculate rainfall erosivity because it is difficult to collect the data needed.This paper studied the relationships between rainfall erosivity and geographic factors by BP neural network,and brought forward rainfall erosivity BP neural network model.The model was applied to study the rainfall erosivity of 46 regions in Fujian Province,and the results showed that the accuracy of the mean simulative accuracy and the mean predictive accuracy of the model for different regions in Fujian Province were satisfactory,which were 96.81% and 95.68% respectively. Therefore,it not only provided a scientific basis in predicting rainfall erosivity,but also opened up train of thought in the application of BP neural network in soil and water conservation research.
- References:
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