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Recognition of Control Chart Patterns Using Decision Tree of Multi-class SVM · Study

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ChapterRecognition of Control Chart Patterns Using Decision Tree of Multi-class SVM

Xiaobing Shao2012

Chapter2012

Recognition of Control Chart Patterns Using Decision Tree of Multi-class SVM

7 citations·0/0 files stored·Advances in intelligent and soft computing

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Data Mining and Machine Learning Applications

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References

1999A neural network based model for abnormal pattern recognition of control charts 2005A control chart pattern recognition system using a statistical correlation coefficient method 1995Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems 2001Control chart pattern recognition using back propagation artificial neural networks 2008Recognizing control chart patterns with neural network and numerical fitting 2003Interpreting statistical process control (SPC) charts using machine learning and expert system techniques

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2020Control Chart Pattern Recognition of Sheet Metal Cutting Data in Shipbuilding Based on XGBoost

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2012A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification schemearticle · 5 shared references 2006A study on the various features for effective control chart pattern recognitionarticle · 3 shared references 2019Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical featuresarticle · 3 shared references 2015A robust unsupervised consensus control chart pattern recognition frameworkarticle · 3 shared references 2022Concurrent Control Chart Pattern Recognition: A Systematic Reviewreview · 3 shared references 2009Control Chart Pattern Recognition Using Wavelet Analysis and Neural Networksarticle · 3 shared references

Details

Year2012

Typechapter

Published2012-01-01

VenueAdvances in intelligent and soft computing

ISSN-L1867-5662

Languageen

Citations7

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1007/978-3-642-27869-3_5

openalex_workW207004615

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