Genetic programming and cae neural networks approach for prediction of the bending capability of ZnTiCu sheets
Genetic programming (GP) and CAE NN analysis have been applied for the prediction of bending capability of rolled ZnTiCu alloy sheet. Investigation revealed that an analysis with CAE NN is faster than GP but less accurate for lower amount of data. Both methods enable good assessment of separate infl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2008-10-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | http://public.carnet.hr/metalurg/Metalurgija/2008_vol_47/No_4/MET_47_4_301_305_Turk.pdf |