Table 10.
ANN classification results using LDA-CLNN.
| Method | Number of samples | Number of clusters detected % Correct Classification | ||
|---|---|---|---|---|
| Training and Cross Validation | Testing | |||
| E-nose | 120 (25%) | * 360 (75%) | 4 | 66.7% |
| E-nose and acoustic | 120 (25%) | * 360 (75%) | 6 | 84.4% |
None of the training and cross validation samples were used in the testing.