A two-stage neural network approach for process variance change detection and classification
From MaRDI portal
Publication:4496997
DOI10.1080/002075499191148zbMath0948.90507OpenAlexW2160203079MaRDI QIDQ4496997
No author found.
Publication date: 21 August 2000
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/002075499191148
Related Items (4)
Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes ⋮ Detection and classification mean-shifts in multi-attribute processes by artificial neural networks ⋮ Decision tree based control chart pattern recognition ⋮ An integrated approach for process monitoring using wavelet analysis and competitive neural network
This page was built for publication: A two-stage neural network approach for process variance change detection and classification