Back-propagation pattern recognizers for X¯ control charts: methodology and performance

Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes

Computers and Industrial Engineering

Detecting patterns in process data with fractal dimension

Computers and Industrial Engineering

A control chart pattern recognition system using a statistical correlation coefficient method

Computers and Industrial Engineering

A hybrid learning-based model for on-line detection and analysis of control chart patterns

Computers and Industrial Engineering

Feature-based recognition of control chart patterns

Computers and Industrial Engineering

Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring

Computers and Industrial Engineering

Recognition of control chart patterns using improved selection of features

Computers and Industrial Engineering

A control chart pattern recognition system using a statistical correlation coefficient method

Computers and Industrial Engineering

A hybrid learning-based model for on-line detection and analysis of control chart patterns

Computers and Industrial Engineering

Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control

Engineering Applications of Artificial Intelligence

Intelligence statistical process control in cellular manufacturing based on SVM

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II

A survey of control-chart pattern-recognition literature (1991-2010) based on a new conceptual classification scheme

Computers and Industrial Engineering

Identification and interpretation of manufacturing process patterns through neural networks

Mathematical and Computer Modelling: An International Journal