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Using Artificial Neural Networks for Recognition of Control Chart Pattern

by El Farissi.o, Moudden.a, Benkachcha.s
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 3
Year of Publication: 2015
Authors: El Farissi.o, Moudden.a, Benkachcha.s

El Farissi.o, Moudden.a, Benkachcha.s . Using Artificial Neural Networks for Recognition of Control Chart Pattern. International Journal of Computer Applications. 116, 3 ( April 2015), 46-50. DOI=10.5120/20319-2388

@article{ 10.5120/20319-2388,
author = { El Farissi.o, Moudden.a, Benkachcha.s },
title = { Using Artificial Neural Networks for Recognition of Control Chart Pattern },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 3 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { },
doi = { 10.5120/20319-2388 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:56:05.901828+05:30
%A El Farissi.o
%A Moudden.a
%A Benkachcha.s
%T Using Artificial Neural Networks for Recognition of Control Chart Pattern
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 3
%P 46-50
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Control charting is an important tool in SPC to improve the quality of products. Unnatural patterns in control charts assume that an assignable cause affecting the process is present and some actions must be applied to overcome the problem. By its automatic and fast recognition ability the neural network provide best performance to immediately recognize process trends. In this paper, a neural network model is used to control chart pattern recognition (CCPR). Several forms of architectures have been tested and the results point out a network configuration which leads to excellent quality of recognition.

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Index Terms

Computer Science
Information Sciences


Artificial Neural Networks (ANN) Statistical Process Control (SPC) Control Charts (CC) Control Charts Pattern (CCP).