Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers

Modeling manufacturing processes using a genetic programming-based fuzzy regression with detection of outliers

Fuzzy regression (FR) been demonstrated as a promising technique for modeling manufacturing processes where availability of data is limited. FR can only yield linear type FR models which have a higher degree of fuzziness, but FR ignores higher order or interaction terms and the influence of outliers...

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Bibliographic Details
Main Authors: Chan, Kit Yan, Kwong, C., Fogarty, T.
Format: Journal Article
Published: Elsevier 2009
Subjects:
outlier detection
fuzzy regression
epoxy dispensing process
genetic programming
Online Access:http://hdl.handle.net/20.500.11937/18414

Internet

http://hdl.handle.net/20.500.11937/18414

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