《Table 2 Validation results of sensitivity analysis by back-propagation network》

《Table 2 Validation results of sensitivity analysis by back-propagation network》   提示:宽带有限、当前游客访问压缩模式
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《Mapping Soil Electrical Conductivity Using Ordinary Kriging Combined with Back-propagation Network》


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Notes:NDVI,normalized difference vegetation index;LU,land use types;DD,distance to the drainage ditches;DI,distance to the irrigation ditches;ME,mean error;MAE,mean absolute error;RMSE,root mean squared error;SI,sensitive index.‘–’as a standard

Sensitivity analysis showed that the response of BP was highly dependent on the influencing factors(Table 2).It provided a measure of the relative importance among the inputs of the neural model.In this study,when each input factor was removed at a time while not changing any of another item,each SI showed more than 1.It revealed that all input factors exerted these influences on the soil electrical conductivity at 0–30 and 30–50 cm soil depths.According to the values of SI,the decreasing orders of input importance at 0–30 cm soil depth were as follows:land use types,the distance to irrigation ditches,elevation,distance to drainage ditches and NDVI.The decreasing orders of importance at 30–50cm depth were as follows:land use types,elevation,distance to the irrigation ditches,distance to the drainage ditches and NDVI.