Table 4 Results of a neural network based on fuzzy logic.
From: A model for classifying information objects using neural networks and fuzzy logic
Dataset, dimension | Type | Quantity in sample | Correct | Incorrect | Accuracy, % |
|---|---|---|---|---|---|
2400 | Syllabus | 558 | 545 | 13 | 97,67 |
Lecture | 589 | 578 | 11 | 98,13 | |
Manual | 693 | 671 | 22 | 96,83 | |
Handbook | 560 | 551 | 7 | 98,75 | |
3600 | Syllabus | 897 | 881 | 16 | 98,22 |
Lecture | 972 | 953 | 19 | 98,05 | |
Manual | 906 | 882 | 24 | 97,35 | |
Handbook | 825 | 796 | 29 | 96,48 | |
4800 | Syllabus | 1254 | 1231 | 23 | 98,17 |
Lecture | 1345 | 1327 | 18 | 98,66 | |
Manual | 1225 | 1204 | 21 | 98,29 | |
Handbook | 976 | 952 | 24 | 97,54 |
