Control chart pattern recognition using feature-based learning vector quantization

International Journal of Advanced Manufacturing Technology

Volumn 48, Issue 9-12, 2010, Pages 1061-1073

  Gauri, Susanta Kumar ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Control chart patterns; Learning vector quantization (LVQ); Multilayer perceptrons (MLP); Pattern recognition; Recognition performance; Shape features

Indexed keywords

CONTROL CHART PATTERN; LEARNING VECTOR QUANTIZATION; MULTI-LAYER PERCEPTRONS; MULTILAYER PERCEPTRONS (MLP); RECOGNITION PERFORMANCE; SHAPE FEATURES;

CYBERNETICS; ELECTRIC LOADS; FLOWCHARTING; MULTILAYERS; PATTERN RECOGNITION SYSTEMS; VECTORS;

VECTOR QUANTIZATION;

EID: 77953619094     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-009-2354-7     Document Type: Article

References (23)

1. Montgomery DC (1985) Introduction to statistical quality control. McGraw-Hill, New York
2. Grant GE, Leavenworth RS (1996) Statistical quality control, 7th edn. McGraw-Hill, New York
3. Western Electric Company (1958) Statistical quality control handbook. American Telephone and Telegraph Company, Chicago, Illinois
4. DT Pham E Oztemel 1992 Control chart pattern recognition using neural networks J Syst Eng 2 256 262
5. HB Hwarng NF Hubele 1993 Back-propagation pattern recognisers for X̄ control charts: methodology and performance Comput Ind Eng 24 219 235 10.1016/0360-8352(93)90010-U
6. T Velasco MR Rowe 1993 Back propagation artificial neural networks for the analysis of quality control charts Comput Ind Eng 25 397 400 10.1016/0360-8352(93)90305-H
7. CS Cheng 1997 A neural network approach for the analysis of control chart patterns Int J Prod Res 35 667 697 0945.90601 10.1080/002075497195650
8. RS Guh JDT Tannock 1999 Recognition of control chart concurrent patterns using a neural network approach Int J Prod Res 37 1743 1765 0949.90526 10.1080/002075499190987
9. RS Guh F Zorriassatine JDT Tannock C O'Brien 1999 On-line control chart pattern detection and discrimination-a neural network approach Artif Intell Eng 13 413 425 10.1016/S0954-1810(99)00022-9 (Pubitemid 30509691)
10. MB Perry JK Spoerre T Velasco 2001 Control chart pattern recognition using back propagation artificial neural networks Int J Prod Res 39 3399 3418 10.1080/00207540110061616 (Pubitemid 35165521)
11. Bose NK, Liang P (1996) Neural network fundamentals with graphs. Algorithms and Applications, McGraw-Hill
12. F Dieterle S Muller-Hagedorn HM Liebich G Gauglitz 2003 Urinary nucleosides as potential tumor makers evaluated by learning vector quantization Artif Intell Med 28 265 279 10.1016/S0933-3657(03)00058-7 (Pubitemid 36961472)
13. DT Pham E Oztemel 1994 Control chart pattern recognition using learning vector quantization networks Int J Prod Res 32 721 729 0907.90176 10.1080/00207549408956963
14. MS Yang JH Yang 2002 A fuzzy-soft learning vector quantization for control chart pattern recognition Int J Prod Res 40 2721 2731 10.1080/00207540210137639
15. R-S Guh Y-R Shiue 2008 Effective pattern recognition of control charts using dynamically trained learning vector quantization network J Chinese Inst Ind Eng 25 73 89
16. DT Pham MA Wani 1997 Feature-based control chart pattern recognition Int J Prod Res 35 1875 1890 0949.90640 10.1080/002075497194967
17. SK Gauri S Chakraborty 2006 Feature-based recognition of control chart patterns Comput Ind Eng 51 726 742 10.1016/j.cie.2006.07.013
18. A Hassan MS Nabi Baksh AM Shaharoun H Jamaluddin 2003 Improved SPC chart pattern recognition using statistical features Int J Prod Res 41 1587 1603 10.1080/0020754021000049844
19. Montgomery DC, Peck EA (1982) Introduction to linear regression analysis. John Wiley, New York
20. SK Gauri S Chakraborty 2009 Recognition of control chart patterns using improved selection of features Comput Ind Eng 56 1577 1588 10.1016/j.cie.2008. 10.006
21. T Kohonen 1982 Self-organized formation of topologically correct feature maps Biol Cybernet 43 59 69 0466.92002 10.1007/BF00337288 667889 (Pubitemid 12139984)
22. Haykin S (1999) Neural network: a comprehensive foundation, 2nd edn. Prentice-Hall, Englewood Cliffs, NJ
23. Demuth H, Beale M (1998) Neural network toolbox user's guide. Math Works, Natick, MA