Conference Paper
Using Feed Forward Neural Network to Solve Eigenvalue Problems
Table 9
The results of Example
2 given in [
22].
| | Exact solution | Solution in [22] P21 | Error |
| | 0 | 1.000000000000000 | 1.000000000000000 | 0 | | 0.1 | 1.000100005000167 | 1.000100005056761 | 5.659384072487228 | | 0.2 | 1.001601280682940 | 1.001601314236604 | 3.355366451351927 | | 0.3 | 1.008132893753152 | 1.008133600590699 | 7.068375460494991 | | 0.4 | 1.025930494190382 | 1.025933732312788 | 3.238122405324617 | | 0.5 | 1.064494458917860 | 1.064499725618846 | 5.266700985995243 | | 0.6 | 1.138372943065416 | 1.138376181379454 | 3.238314038034318 | | 0.7 | 1.271376281592894 | 1.271376594860263 | 3.132673687122889 | | 0.8 | 1.506215178528160 | 1.506214797396031 | 3.811321289681757 | | 0.9 | 1.927261339283878 | 1.927261144233841 | 1.950500372327468 | | 1 | 2.718281828459046 | 2.718281828459046 | 0 |
| Max. error
| 7.068375460494991 | S.S.E
| 4.949244162584533 |
|
|
