Skip to Main Content

The average performance and standard deviation of 30 independent runs (using different seed values) for LeNet, CNN-5, and CNN-8 are presented in Table 3 and the best performing method on each dataset is presented in boldface font. Apart from BrNoRo, LeNet has achieved the best performance on the other six datasets compared with CNN-5 and CNN-8.

Table 3:

Average accuracy (%) of three CNN methods on the seven texture images datasets (x¯±s).

BrNoRoBrWiRoOutexTC00OutexTC10KySinHwKyNoRoKyWiRo
LeNet 19.64 ± 6.56 + 12.03±2.38+ 12.50±2.33+ 7.49±1.35+ 6.36±1.78+ 8.79±3.12+ 6.31±2.00+ 
CNN-5 21.36±6.56+ 12.01 ± 2.38 + 5.03 ± 2.33 + 4.81 ± 1.35 + 6.09 ± 1.78 + 5.39 ± 3.12 + 4.80 ± 2.00 + 
CNN-8 16.10 ± 3.97 + 9.60 ± 2.64 + 7.01 ± 3.39 + 5.82 ± 1.78 + 6.22 ± 1.95 + 6.29 ± 2.39 + 5.23 ± 1.81 + 
BrNoRoBrWiRoOutexTC00OutexTC10KySinHwKyNoRoKyWiRo
LeNet 19.64 ± 6.56 + 12.03±2.38+ 12.50±2.33+ 7.49±1.35+ 6.36±1.78+ 8.79±3.12+ 6.31±2.00+ 
CNN-5 21.36±6.56+ 12.01 ± 2.38 + 5.03 ± 2.33 + 4.81 ± 1.35 + 6.09 ± 1.78 + 5.39 ± 3.12 + 4.80 ± 2.00 + 
CNN-8 16.10 ± 3.97 + 9.60 ± 2.64 + 7.01 ± 3.39 + 5.82 ± 1.78 + 6.22 ± 1.95 + 6.29 ± 2.39 + 5.23 ± 1.81 + 

Close Modal

or Create an Account

Close Modal
Close Modal