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Efficient mixture control chart pattern recognition using adaptive RBF neural network · Study

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ArticleEfficient mixture control chart pattern recognition using adaptive RBF neural network

Sapna Kadakadiyavar2019

Article2019

Efficient mixture control chart pattern recognition using adaptive RBF neural network

Sapna Kadakadiyavar · Nagaraj Ramrao · Manoj Kumar Singh

14 citations·0/0 files stored·International Journal of Information Technology

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Advanced Statistical Process Monitoring Neural Networks and Applications Fault Detection and Control Systems

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References

2018Control chart pattern recognition using RBF neural network with new training algorithm and practical features 2016Support vector machine in statistical process monitoring: a methodological and analytical review 2006A study on the various features for effective control chart pattern recognition 2011An expert system for control chart pattern recognition 2007Identification of control chart patterns using wavelet filtering and robust fuzzy clustering 2014A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine 2016Estimation and generation of training patterns for control chart pattern recognition 2008Recognizing control chart patterns with neural network and numerical fitting

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2020A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windowsarticle · 7 shared references 2022Concurrent Control Chart Pattern Recognition: A Systematic Reviewreview · 7 shared references 2019A control chart pattern recognition system for feedback-control processesarticle · 6 shared references 2020Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusionarticle · 6 shared references 2012Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantizationarticle · 5 shared references 2022Control Chart Concurrent Pattern Classification Using Multi-Label Convolutional Neural Networksarticle · 5 shared references

Details

Year2019

Typearticle

Published2019-11-14

VenueInternational Journal of Information Technology

ISSN-L2511-2104

Languageen

Citations14

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1007/s41870-019-00381-z

openalex_workW2986392040

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