Page 195 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

184 Chapter 6 Plant leaf disease classification based on feature selection

The model is run within the algorithm as the cost function. Af-
ter reaching the maximum iteration, the best subset of feature is
obtained (Fig. 6.26).
After running the proposed wrapper algorithm for 20 itera-
tions, the best solution is [1, 1, 0, 1, 1 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1], which means there
are 24 features that are selected out of 36. Details of the solution
are in Table 6.9.

(A)
Training and Valida on Loss
0.8
0.7
0.6
0.5
Loss 0.4
0.3
0.2
0.1
0
1 3 5 7 9 1113151719212325272931333537394143454749
Epochs
Training loss Valida on loss

(B)
Training and Valida on Result
90.00%
80.00%
70.00%
60.00%
Accuracy 50.00%
40.00%
30.00%
20.00%
10.00%
0.00%
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49
Epochs
Training acc Valida on acc
Figure 6.26 Result of MLP. MLP, multilayer perceptron.