Hybrid artificial neural networks modeling for faults identification of a stochastic multivariate process

DOI10.1155/2013/386757zbMath1288.62145OpenAlexW2143584045WikidataQ58916127 ScholiaQ58916127MaRDI QIDQ2015441

Chia-Ding Hou, Yuehjen E. Shao

Publication date: 23 June 2014

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/386757

Mathematics Subject Classification ID

Cites Work

• A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model
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• Multivariate adaptive regression splines
• A hybrid ICA-SVM approach for determining the quality variables at fault in a multivariate process
• Data-driven adaptive observer for fault diagnosis
• Data-driven monitoring for stochastic systems and its application on batch process
• Contributors to a multivariate statistical process control chart signal
• Shift detection and source identification in multivariate autocorrelated processes
• Multivariate Profile Charts for Statistical Process Control
• IDENTIFYING THE OUT OF CONTROL VARIABLE IN A MULTIVARIATE CONTROL CHART

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