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 13.

Problem 1Problem 2Problem 3
Index

10.095393−0.007510.360046−0.08189−1.87335−0.253550.3010720.0509940.081955
2−0.04063−0.039020.093106−0.591120.017422−1.028460.111720.147113−0.32471
30.094272−0.041540.5527280.024504−0.42908−0.052710.070749−0.850361.372923
4−0.04037−0.01940.160012−0.52688−0.723340.0143510.1213410.7121130.608768
5−0.12942−0.08346−0.259190.109931−0.78767−0.5388−0.01146−0.095460.091558
60.022929−0.112850.0879270.042851−0.66665−0.298080.4639030.224941−0.46237
7−0.05836−0.09943−0.02973−0.013360.132638−0.026250.729139−0.040450.176563
8−0.00019−0.021210.319345−0.02041−0.04962−0.802360.46570.0613540.227969
90.266188−0.02980.5708690.270267−0.27792−0.354990.7175460.043049−0.3886
10−0.012070.1319−0.119280.1257090.131585−0.751080.0124120.1389110.165863
11−0.005970.009826−0.1375−0.36437−0.18466−0.930430.5117840.103503−0.37962