Research Article
Analysis of Beam-Column Designs by Varying Axial Load with Internal Forces and Bending Rigidity Using a New Soft Computing Technique
Table 7
Trained neurons obtained by LeNN-NM algorithm for Problems
1–
3.
| Problem 1 | Problem 2 | Problem 3 | Index | | | | | | | | | |
| 1 | 0.095393 | −0.00751 | 0.360046 | −0.08189 | −1.87335 | −0.25355 | 0.301072 | 0.050994 | 0.081955 | 2 | −0.04063 | −0.03902 | 0.093106 | −0.59112 | 0.017422 | −1.02846 | 0.11172 | 0.147113 | −0.32471 | 3 | 0.094272 | −0.04154 | 0.552728 | 0.024504 | −0.42908 | −0.05271 | 0.070749 | −0.85036 | 1.372923 | 4 | −0.04037 | −0.0194 | 0.160012 | −0.52688 | −0.72334 | 0.014351 | 0.121341 | 0.712113 | 0.608768 | 5 | −0.12942 | −0.08346 | −0.25919 | 0.109931 | −0.78767 | −0.5388 | −0.01146 | −0.09546 | 0.091558 | 6 | 0.022929 | −0.11285 | 0.087927 | 0.042851 | −0.66665 | −0.29808 | 0.463903 | 0.224941 | −0.46237 | 7 | −0.05836 | −0.09943 | −0.02973 | −0.01336 | 0.132638 | −0.02625 | 0.729139 | −0.04045 | 0.176563 | 8 | −0.00019 | −0.02121 | 0.319345 | −0.02041 | −0.04962 | −0.80236 | 0.4657 | 0.061354 | 0.227969 | 9 | 0.266188 | −0.0298 | 0.570869 | 0.270267 | −0.27792 | −0.35499 | 0.717546 | 0.043049 | −0.3886 | 10 | −0.01207 | 0.1319 | −0.11928 | 0.125709 | 0.131585 | −0.75108 | 0.012412 | 0.138911 | 0.165863 | 11 | −0.00597 | 0.009826 | −0.1375 | −0.36437 | −0.18466 | −0.93043 | 0.511784 | 0.103503 | −0.37962 |
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