Introduction to Statistical Quality Control, 1996. ,
European Commission: Smart components and smart systems integration. EXTRACT FROM WORK PROGRAMME 2011 Available from ,
Guidelines for developers of smart systems, 2016 IEEE 8th International Conference on Intelligent Systems (IS), pp.455-460, 2016. ,
DOI : 10.1109/IS.2016.7737461
The rise of the expert company: How visionary companies are using artificial intelligence to achieve higher productivity and profits, 1983. ,
A framework for Expert System development in statistical quality control, Computers & Industrial Engineering, vol.14, issue.3, pp.335-343, 1988. ,
DOI : 10.1016/0360-8352(88)90011-3
Control Chart Pattern Recognition Using Combinations of Multi-Layer Perceptrons and Learning-Vector-Quantization Neural Networks, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol.78, issue.9, pp.113-118, 1993. ,
DOI : 10.1109/5.58325
Control chart pattern recognition using learning vector quantization networks, International Journal of Production Research, vol.2, issue.3, pp.721-729, 1994. ,
DOI : 10.1109/35.41401
An ANN???based DSS system for quality assurance in production network, Journal of Manufacturing Technology Management, vol.18, issue.7, pp.836-857, 2007. ,
DOI : 10.1080/09537280500112116
Automated visual inspection expert system for multivariate statistical process control chart Expert Systems with Applications Expert system for multi-criteria decision making to assess the collaboration commerce systems, The 2nd International Conference on Next Generation Information Technology, pp.5113-511868, 2009. ,
Robust multivariate control charts for early detection of broken rotor bars in an induction motors fed by a voltage source inverter, 2011 International Conference on Power Engineering, Energy and Electrical Drives, pp.1-6, 2011. ,
DOI : 10.1109/PowerEng.2011.6036514
Training artificial neural networks for statistical process control, [1993] Proceedings of the Tenth Biennial University/Government/Industry Microelectronics Symposium, pp.235-239, 1993. ,
DOI : 10.1109/UGIM.1993.297059
A comparison of neural networks to SPC charts, Computers & Industrial Engineering, vol.21, issue.1-4, pp.253-255, 1991. ,
DOI : 10.1016/0360-8352(91)90097-P
Identification of change structure in statistical process control, International Journal of Production Research, vol.30, issue.7, pp.1655-1669, 1992. ,
DOI : 10.1109/MASSP.1987.1165576
A multi-layer neural network model for detecting changes in the process mean, Computers & Industrial Engineering, vol.28, issue.1, pp.51-61, 1995. ,
DOI : 10.1016/0360-8352(94)00024-H
A neural network approach for the analysis of control chart patterns, International Journal of Production Research, vol.35, issue.3, pp.667-697, 1997. ,
DOI : 10.1080/002075497195650
Using neural networks to detect the bivariate process variance shifts pattern, Computers & Industrial Engineering, vol.60, issue.2, pp.269-278, 2011. ,
DOI : 10.1016/j.cie.2010.11.009
A neural network based model for abnormal pattern recognition of control charts, Computers & Industrial Engineering, vol.36, issue.1, pp.97-108, 1999. ,
DOI : 10.1016/S0360-8352(99)00004-2
OPTIMIZING FEEDFORWARD NEURAL NETWORKS FOR CONTROL CHART PATTERN RECOGNITION THROUGH GENETIC ALGORITHMS, International Journal of Pattern Recognition and Artificial Intelligence, vol.14, issue.02, pp.75-99, 2005. ,
DOI : 10.1023/A:1008818817588
A Neural Network Ensemble Approach for the Recognition of SPC Chart Patterns, Third International Conference on Natural Computation (ICNC 2007), pp.575-579, 2007. ,
DOI : 10.1109/ICNC.2007.81
Designing a multivariate???multistage quality control system using artificial neural networks, International Journal of Production Research, vol.3, issue.1, pp.251-271, 2009. ,
DOI : 10.1023/A:1008818817588
Control chart pattern classification using fourier descriptors and neural networks, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), pp.4587-4590, 2011. ,
DOI : 10.1109/AIMSEC.2011.6011169
Control chart forecasting: A hybrid model using recurrent neural network, design of experiments and regression, 2012 IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC), pp.435-439, 2012. ,
DOI : 10.1109/BEIAC.2012.6226098
Neural network classifier of time series: A case study of symbolic representation preprocessing for Control Chart Patterns, 2012 8th International Conference on Natural Computation, pp.344-349, 2012. ,
DOI : 10.1109/ICNC.2012.6234651
Recognition of control chart patterns using an intelligent technique, Applied Soft Computing, vol.13, issue.5, pp.2970-2980, 2013. ,
DOI : 10.1016/j.asoc.2012.02.019
lmpact of kurtosis onperformance of mixture control chart patterns recognition using independent component Analysis and neural networks, In: 4th Int. Conf. on Advanced Logistics and Transport (ICALT), pp.94-99, 2015. ,
Application of Paraconsistent Artificial Neural Network in StatisticalProcess Control acting on voltage level monitoring in Electrical Power System, 18th International Conference on Intelligent System Application to Power Systems (ISAP), pp.1-6, 2015. ,
Design a model based on Neural Networks to pattern identification, 1385. ,