Table 10.
Objective 2: results of the application of the MOGA algorithm on each of the six different feature datasets
| Case | Number of Features | Writing Pattern | ANN Topology | Accuracy | |
|---|---|---|---|---|---|
| Number of Neurons | Activation Function | ||||
| 1 | 41 | 1 | 59/65/2/2 | logsig/logsig/logsig/softmax | 94.34% |
| 2 | 43 | 2 | 138/18/1/2 | logsig/logsig/logsig/softmax | 87.26% |
| 3 | 43 | 3 | 65/36/7/2 | logsig/logsig/logsig/softmax | 91.86% |
| 4 | 6 | 1 | 123/2 | logsig/softmax | 96.00% |
| 5 | 5 | 2 | 67/24/2 | logsig/logsig/softmax | 86.71% |
| 6 | 5 | 3 | 17/2 | tansig/softmax | 91.66% |
The output layer configuration was preliminarily fixed with two neurons and softmax as activation function