Applying two-stage neural network based classifiers to the identification of mixture control chart patterns for an SPC-EPC process

DOI10.1155/2017/2323082zbMath1377.93165OpenAlexW2767055201MaRDI QIDQ1687402

Po-Yu Chang, Chi-Jie Lu, Yuehjen E. Shao

Publication date: 3 January 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/2323082

zbMATH Keywords

support vector machine (SVM)multivariate adaptive regression splines (MARS)statistical process control (SPC)engineering process control (EPC)two-stage neural network

Mathematics Subject Classification ID

Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20) Identification in stochastic control theory (93E12)

Related Items (1)

Boundedness and robust analysis of dynamics of nonlinear diffusion high-order Markovian jump time-delay system

Cites Work

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• CONTINUOUS INSPECTION SCHEMES

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