CONTROL CHART PATTERN-RECOGNITION USING LEARNING VECTOR QUANTIZATION NETWORKS

Authors
PHAM DT OZTEMEL E
Citation
Dt. Pham et E. Oztemel, CONTROL CHART PATTERN-RECOGNITION USING LEARNING VECTOR QUANTIZATION NETWORKS, International Journal of Production Research, 32(3), 1994, pp. 721-729
Citations number
NO
Categorie Soggetti
Engineering,"Operatione Research & Management Science
Journal title
International Journal of Production Research → ACNP
ISSN journal
00207543
Volume
32
Issue
3
Year of publication
1994
Pages
721 - 729
Database
ISI
SICI code
0020-7543(1994)32:3<721:CCPULV>2.0.ZU;2-1
Abstract
Pattern recognition systems using neural networks for discriminating b etween different types of control chart patterns are discussed. A clas s of pattern recognizers based on the Learning Vector Quantization (LV Q) network is described. A procedure to increase the classification ac curacy and decrease the learning time for LVQ networks is presented. T he results of control chart pattern recognition experiments using both existing LVQ networks and an LVQ network implementing the proposed pr ocedure are given.