Fault Diagnosis with Missing Data Based on Hopfield Neural Networks

DOI10.1007/978-3-319-38869-4_3zbMath1417.62179OpenAlexW2483392170MaRDI QIDQ2822753

Egly Barrero Viciedo, Valery Moreno Vega, Alberto Prieto-Moreno, Raquelita Torres Cabeza

Publication date: 4 October 2016

Published in: Mathematical Modeling and Computational Intelligence in Engineering Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-38869-4_3

zbMATH Keywords

incomplete datafault diagnosismissing dataHopfield neural networksquality of dataindustrial processesDAMADICS

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Cites Work

• G-PNN: a genetically engineered probabilistic neural network
• Testing for preference using a sum of Wilcoxon signed rank statistics
• Robust fault detection for networked systems with communication delay and data missing
• Wilcoxon-signed rank test for associated sequences

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