Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function

16 references·16 citing·26 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1992Introduction to Statistical Quality Control7,842 cited
1967Quality Control and Industrial Statistics.1,001 cited
1984The Shewhart Control Chart—Tests for Special Causes586 cited
1988Introduction to Statistical Quality Control532 cited
1975Quality Control and Industrial Statistics.358 cited
2003Improved SPC chart pattern recognition using statistical features175 cited
1997A neural network approach for the analysis of control chart patterns169 cited
2010Application of the PSO–SVM model for recognition of control chart patterns148 cited
1994Control chart pattern recognition using learning vector quantization networks140 cited
1997Feature-based control chart pattern recognition130 cited
2005A hybrid learning-based model for on-line detection and analysis of control chart patterns103 cited
2006Feature-based recognition of control chart patterns89 cited
2013Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines82 cited
1995Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems81 cited
2007A hybrid system for SPC concurrent pattern recognition

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

74 cited

1999A neural network approach to characterize pattern parameters in process control charts73 cited

Cited by

2019Statistical Process Control with Intelligence Based on the Deep Learning Model61 cited
2021Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective52 cited
2022Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution37 cited
2020A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows33 cited
2021Fuzzy Heuristics and Decision Tree for Classification of Statistical Feature-Based Control Chart Patterns29 cited
2021Pattern recognition in financial surveillance with the ARMA-GARCH time series model using support vector machine29 cited
2019One‐sided control chart based on support vector machines with differential evolution algorithm26 cited
2018Quality Control Process Based on Fuzzy Random Variables23 cited
2019Control Chart Pattern Recognition Method Based on Improved One-dimensional Convolutional Neural Network23 cited
2020Using Machine Learning Classifiers to Recognize the Mixture Control Chart Patterns for a Multiple-Input Multiple-Output Process18 cited
2020A robust data simulation technique to improve early detection performance of a classifier in control chart pattern recognition systems17 cited
2022An SVM-GA based monitoring system for pattern recognition of autocorrelated processes16 cited
2024Control chart pattern recognition under small shifts based on multi-scale weighted ordinal pattern and ensemble classifier15 cited
2020Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusion14 cited
2026A review of artificial intelligence impacting statistical process monitoring and future directions12 cited
2021Multiscale Control Chart Pattern Recognition Using Histogram-Based Representation of Value and Zero-Crossing Rate10 cited