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International Scholarly Research Notices
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International Scholarly Research Notices
/
2013
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Article
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Tab 3
/
Research Article
Predicting Saturated Hydraulic Conductivity by Artificial Intelligence and Regression Models
Table 3
Summary of statistical analyses of training and testing the MLP and RBF neural network for
prediction.
Network
Architecture
Threshold function
Spread
Training
Testing
MSE
MSE
MLP
4-7-1
Tansig-Purelin
ā
0.88
0.007
0.66
0.02
RBF
ā
Radbas
45
0.9
0.005
0.68
0.02