A multi-layer neural network model for detecting changes in the process mean

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

Computers and Industrial Engineering

Recognition of control chart patterns using multi-resolution wavelets analysis and neural networks

Computers and Industrial Engineering

Artificial neural networks to classify mean shifts from multivariate χ2 chart signals

Computers and Industrial Engineering

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

Computers and Industrial Engineering

A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

Expert Systems with Applications: An International Journal

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

Computers and Industrial Engineering

Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes

Computers and Industrial Engineering

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

Engineering Applications of Artificial Intelligence

A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes

Expert Systems with Applications: An International Journal

Applying back propagation network to cold chain temperature monitoring

Advanced Engineering Informatics

Using neural networks to detect the bivariate process variance shifts pattern

Computers and Industrial Engineering

On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model

Neurocomputing

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

Recognition of unnatural patterns in process control charts through combining two types of neural networks

Applied Soft Computing

Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach

Computers and Industrial Engineering

RBF neural network for probability density function estimation and detecting changes in multivariate processes

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

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

Computers and Industrial Engineering

Performance control for manufacturing sustainability: a cellular neural network-based approach

ACMIN'12 Proceedings of the 14th international conference on Automatic Control, Modelling & Simulation, and Proceedings of the 11th international conference on Microelectronics, Nanoelectronics, Optoelectronics

Identification and interpretation of manufacturing process patterns through neural networks

Mathematical and Computer Modelling: An International Journal

On line detection of mean and variance shift using neural networks and support vector machine in multivariate processes

Applied Soft Computing

Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine

Computers and Industrial Engineering