CONTROL CHART PATTERN-RECOGNITION USING LEARNING VECTOR QUANTIZATION NETWORKS

被引：100

作者：

PHAM, DT

OZTEMEL, E

机构：

[1] Intelligent Systems Research Laboratory, School of Electrical Electronic and Systems Engineering, University of Wales College of Cardiff, Cardiff, CFI 3YH

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1994年 / 32卷 / 03期

关键词：

D O I：

10.1080/00207549408956963

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Pattern recognition systems using neural networks for discriminating between different types of control chart patterns are discussed. A class of pattern recognizers based on the Learning Vector Quantization (LVQ) network is described. A procedure to increase the classification accuracy and decrease the learning time for LVQ networks is presented. The results of control chart pattern recognition experiments using both existing LVQ networks and an LVQ network implementing the proposed procedure are given.

引用

页码：721 / 729

页数：9

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