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Determining the importance of soil properties for clay dispersibility using artificial neural network and daptive neuro-fuzzy inference system

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Academic year: 2020

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Fig. 1. LLocation of the stuudy area in the Baayaz region, southheast Iran
Table III, soil reaction has the lowest CV among the studied soil properties. Perhaps the calcareous nature of the soils of the region
Table 3. Summary statistics of the studied soil properties for both sampling depths VariableA Depth (cm) Mean Median Variance Min.
Table 6. Results of regression analysis and validation statistics comparing the estimated and observed dispersible clay in the soil of both study depths in ANFIS Depth (cm) MethodA Linear regression equation R2B R2adjC RMSED RMSE'E (%)

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