Research Article
Conjugate Cellular Automata and Neural Network Approach: Failure Load Prediction of Masonry Panels
Table 3
Example of the input data for panels with an opening.
| Input | Panel | SB02 | Panel 3 | ART06 |
| P | 0.14746 | 0.19840 | 0.09456 | WS | 0.17000 | 0.12000 | 0.32000 | S 1,1 | 0.10861 | 0.32315 | 0.45734 | S 1,2 | 0.14636 | 0.00000 | 0.29407 | S 1,3 | 0.10867 | 0.32315 | 0.12338 | S 2,1 | 0.13576 | 0.07094 | 0.46614 | S 2,2 | 0.00000 | 0.03813 | 0.00000 | S 2,3 | 0.13584 | 0.07094 | 0.12575 | S 3,1 | 0.05430 | 0.00000 | 0.16051 | S 3,2 | 0.07318 | 0.00000 | 0.10321 | S 3,3 | 0.05433 | 0.00000 | 0.04330 |
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