Polynomial modeling for manufacturing processes using a backward elimination based genetic programming
Even if genetic programming (GP) has rich literature in development of polynomial models for manufacturing processes, the polynomial models may contain redundant terms which may cause the overfitted models. In other words, those models have good accuracy on training data sets but poor accuracy on un...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/41355 |