Table 2 Objective 1: results of the application of the MOGA algorithm on each of the six different feature datasets
From: Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
Case | Number of Features | Writing Pattern | ANN Topology | Accuracy | |
|---|---|---|---|---|---|
Number of Neurons | Activation Function | ||||
1 | 41 | 1 | 186/15/2 | logsig/logsig/softmax | 90.76% |
2 | 43 | 2 | 44/10/2 | logsig/logsig/softmax | 92.98% |
3 | 43 | 3 | 232/82/7/2 | logsig/logsig/logsig/softmax | 95.95% |
4 | 6 | 1 | 222/25/2 | logsig/logsig/softmax | 93.78% |
5 | 6 | 2 | 246/12/2 | logsig/logsig/softmax | 91.58% |
6 | 7 | 3 | 45/114/21/2 | satlins/tansig/logsig/softmax | 96.85% |