Related references
Note: Only part of the references are listed.Designing a multivariate-multistage quality control system using artificial neural networks
Seyed Taghi Akhavan Niaki et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2009)
Detection and classification mean-shifts in multi-attribute processes by artificial neural networks
S. T. A. Niaki et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2008)
Bootstrap method approach in designing multi-attribute control charts
Seyed Taghi Akhavan Niaki et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2007)
On the monitoring of multi-attributes high-quality production processes
Seyed Taghi Akhavan Niaki et al.
METRIKA (2007)
Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes
Jamal Arkat et al.
APPLIED MATHEMATICS AND COMPUTATION (2007)
Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring
Massimo Pacella et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2007)
Skewness reduction approach in multi-attribute process monitoring
Seyed Tagh Akhavan Niaki et al.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2007)
Fault diagnosis in multivariate control charts using artificial neural networks
STA Niaki et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2005)
Mean shifts detection and classification in multivariate process: a neural-fuzzy approach
TY Wang et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2002)
An optimal design of multiattribute control charts for processes subject to a multiplicity of assignable causes
JK Jolayemi
APPLIED MATHEMATICS AND COMPUTATION (2000)