Research Article
Comparison of Artificial Neural Network Architecture in Solving Ordinary Differential Equations
Table 3
Analytical and neural solutions with arbitrary- and regression-based weights (Example
2).
| | | Neural results | Input data | Analytical | | | | | | | | | (four nodes) | (four nodes) | (five nodes) | (five nodes) | (six nodes) | (six nodes) |
| 0 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 0.1 | 1.0643 | 1.0900 | 1.0802 | 1.0910 | 1.0878 | 1.0923 | 1.0687 | 0.2 | 1.0725 | 1.1000 | 1.0918 | 1.0858 | 1.0715 | 1.0922 | 1.0812 | 0.3 | 1.0427 | 1.0993 | 1.0691 | 1.0997 | 1.0518 | 1.0542 | 1.0420 | 0.4 | 0.9885 | 0.9953 | 0.9732 | 0.9780 | 0.9741 | 0.8879 | 0.9851 | 0.5 | 0.9197 | 0.9208 | 0.9072 | 0.9650 | 0.9114 | 0.9790 | 0.9122 | 0.6 | 0.8433 | 0.8506 | 0.8207 | 0.8591 | 0.8497 | 0.8340 | 0.8082 | 0.7 | 0.7645 | 0.7840 | 0.7790 | 0.7819 | 0.7782 | 0.7723 | 0.7626 | 0.8 | 0.6864 | 0.7286 | 0.6991 | 0.7262 | 0.6545 | 0.6940 | 0.6844 | 0.9 | 0.6116 | 0.6552 | 0.5987 | 0.6412 | 0.6215 | 0.6527 | 0.6119 | 1.0 | 0.5413 | 0.5599 | 0.5467 | 0.5604 | 0.5341 | 0.5547 | 0.5445 | 1.1 | 0.4765 | 0.4724 | 0.4847 | 0.4900 | 0.4755 | 0.4555 | 0.4634 | 1.2 | 0.4173 | 0.4081 | 0.4035 | 0.4298 | 0.4202 | 0.4282 | 0.4172 | 1.3 | 0.3639 | 0.3849 | 0.3467 | 0.3907 | 0.3761 | 0.3619 | 0.3622 | 1.4 | 0.3162 | 0.3501 | 0.3315 | 0.3318 | 0.3274 | 0.3252 | 0.3100 | 1.5 | 0.2738 | 0.2980 | 0.2413 | 0.2942 | 0.2663 | 0.2773 | 0.2759 | 1.6 | 0.2364 | 0.2636 | 0.2507 | 0.2620 | 0.2439 | 0.2375 | 0.2320 | 1.7 | 0.2036 | 0.2183 | 0.2140 | 0.2161 | 0.2107 | 0.2177 | 0.1921 | 1.8 | 0.1749 | 0.2018 | 0.2007 | 0.1993 | 0.1916 | 0.1622 | 0.1705 | 1.9 | 0.1499 | 0.1740 | 0.1695 | 0.1665 | 0.1625 | 0.1512 | 0.1501 | 2.0 | 0.1282 | 0.1209 | 0.1204 | 0.1371 | 0.1299 | 0.1368 | 0.1245 | 2.1 | 0.1095 | 0.1236 | 0.1203 | 0.1368 | 0.1162 | 0.1029 | 0.1094 | 2.2 | 0.0933 | 0.0961 | 0.0942 | 0.0972 | 0.0949 | 0.0855 | 0.09207 | 2.3 | 0.0794 | 0.0818 | 0.0696 | 0.0860 | 0.0763 | 0.0721 | 0.0761 | 2.4 | 0.0675 | 0.0742 | 0.0715 | 0.0849 | 0.0706 | 0.0526 | 0.0640 | 2.5 | 0.0573 | 0.0584 | 0.0419 | 0.0609 | 0.0543 | 0.0582 | 0.0492 | 2.6 | 0.0485 | 0.0702 | 0.0335 | 0.0533 | 0.0458 | 0.0569 | 0.0477 | 2.7 | 0.0411 | 0.0674 | 0.0602 | 0.0581 | 0.0468 | 0.0462 | 0.0409 | 2.8 | 0.0348 | 0.0367 | 0.0337 | 0.0387 | 0.0328 | 0.0357 | 0.03460 | 2.9 | 0.0294 | 0.0380 | 0.0360 | 0.0346 | 0.0318 | 0.0316 | 0.0270 | 3.0 | 0.0248 | 0.0261 | 0.0207 | 0.0252 | 0.0250 | 0.0302 | 0.0247 | 3.1 | 0.0209 | 0.0429 | 0.0333 | 0.0324 | 0.0249 | 0.0241 | 0.0214 | 3.2 | 0.0176 | 0.0162 | 0.0179 | 0.0154 | 0.0169 | 0.0166 | 0.0174 | 3.3 | 0.0148 | 0.0159 | 0.0137 | 0.0158 | 0.0140 | 0.0153 | 0.0148 | 3.4 | 0.0125 | 0.0138 | 0.0135 | 0.0133 | 0.0130 | 0.0133 | 0.0129 | 3.5 | 0.0105 | 0.0179 | 0.0167 | 0.0121 | 0.0132 | 0.0100 | 0.0101 | 3.6 | 0.0088 | 0.0097 | 0.0096 | 0.0085 | 0.0923 | 0.0095 | 0.0090 | 3.7 | 0.0074 | 0.0094 | 0.0092 | 0.0091 | 0.0093 | 0.0064 | 0.0071 | 3.8 | 0.0062 | 0.0081 | 0.0078 | 0.0083 | 0.0070 | 0.0061 | 0.0060 | 3.9 | 0.0052 | 0.0063 | 0.0060 | 0.0068 | 0.0058 | 0.0058 | 0.0055 | 4.0 | 0.0044 | 0.0054 | 0.0052 | 0.0049 | 0.0049 | 0.0075 | 0.0046 |
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