Table 10 Objective 2: 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 | 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% |