Polynomial modeling for manufacturing processes using a backward elimination based genetic programming

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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...

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Bibliographic Details
Main Authors:	Chan, Kit Yan, Dillon, T., Kwong, C.
Format:	Conference Paper
Published:	2010
Online Access:	http://hdl.handle.net/20.500.11937/41355

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