Decision tree based control chart pattern recognition

DOI10.1080/00207540701294619zbMath1159.90391OpenAlexW2056818410MaRDI QIDQ3527965

Ruey-Shan Guo, Ming-Huang Chiang, Chih-Hsuan Wang, Jehn-Yih Wong

Publication date: 1 October 2008

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540701294619

zbMATH Keywords

decision treefeature selectionanomaly detectionanomaly classificationcontrol chart patterns

Mathematics Subject Classification ID

Production models (90B30) Pattern recognition, speech recognition (68T10)

Related Items (1)

Comparison of Novelty Score-Based Multivariate Control Charts

Uses Software

• C4.5

Cites Work

• A neural network approach for the analysis of control chart patterns
• Feature-based control chart pattern recognition
• Control chart pattern recognition using learning vector quantization networks
• Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer
• A two-stage neural network approach for process variance change detection and classification
• An integrated neural network approach for simultaneous monitoring of process mean and variance shifts a comparative study
• Adaptive resonance theory-based neural algorithms for manufacturing process quality control
• An integrated approach for process monitoring using wavelet analysis and competitive neural network
• On-line identification of control chart patterns using self-organizing approaches

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