Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects

Baris Yuce, Ernesto Mastrocinque, Michael S. Packianather, Duc Truong Pham, Alfredo Lambiase, Fabio Fruggiero

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	291-308
Journal	Production and Manufacturing Research
Volume	2
Issue number	1
DOIs	https://doi.org/10.1080/21693277.2014.892442
Publication status	Published - 13 May 2014

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title = "Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects",

author = "Baris Yuce and Ernesto Mastrocinque and Packianather, {Michael S.} and Pham, {Duc Truong} and Alfredo Lambiase and Fabio Fruggiero",

year = "2014",

month = may,

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T1 - Neural network design and feature selection using principal component analysis and Taguchi method for identifying wood veneer defects

AU - Yuce, Baris

AU - Mastrocinque, Ernesto

AU - Packianather, Michael S.

AU - Pham, Duc Truong

AU - Lambiase, Alfredo

AU - Fruggiero, Fabio

PY - 2014/5/13

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DO - 10.1080/21693277.2014.892442

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VL - 2

SP - 291

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JO - Production and Manufacturing Research

JF - Production and Manufacturing Research

IS - 1

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