Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming
Genetic programming (GP) has demonstrated as an effective approach in polynomial modeling of manufacturing processes. However, polynomial models with redundant terms generated by GP may depict overfitting, while the developed models have good accuracy on trained data sets but relatively poor accurac...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/10336 |