SYSTEM DESIGN AND BEHAVIOR OF PATTERN RECOGNITION OF CONTROL CHART USING NEURAL NETWORK

Authors

  • Justin Yulius Halim Department of Industrial Engineering, Dongseo University, South Korea

:

https://doi.org/10.9744/jti.5.1.22-31

Keywords:

Control charts, pattern recognition, neural networks, control chart behaviors

Abstract

Recognition of unnatural patterns in control charts is important to get more understanding about the process problem. Shewhart control chart can recognize shift pattern only, while the others cannot be detected by this chart. Neural networks were proposed by many researchers to achieve the better recognition of the patterns. A system of neural networks needs to be fitted to this problem by realizing the behaviors of control charts. Each behavior will affect the development of each part of the system. Some problem need to be pointed also when dealing with the patterns of the control chart.

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Published

2004-07-13

How to Cite

[1]
J. Y. Halim, “SYSTEM DESIGN AND BEHAVIOR OF PATTERN RECOGNITION OF CONTROL CHART USING NEURAL NETWORK”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 5, no. 1, pp. 22-31, Jul. 2004.

Issue

Vol. 5 No. 1 (2003): JUNE 2003

Section

Articles

License

Articles published in the Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).


This work is licensed under a  Creative Commons Attribution License (CC BY).