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Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns

by El Farissi O., Moudden A.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 4
Year of Publication: 2017
Authors: El Farissi O., Moudden A.
10.5120/ijca2017914007

El Farissi O., Moudden A. . Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns. International Journal of Computer Applications. 166, 4 ( May 2017), 29-33. DOI=10.5120/ijca2017914007

@article{ 10.5120/ijca2017914007,
author = { El Farissi O., Moudden A. },
title = { Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 4 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number4/27659-2017914007/ },
doi = { 10.5120/ijca2017914007 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:49.066877+05:30
%A El Farissi O.
%A Moudden A.
%T Application of Neuro-Fuzzy in the Recognition of Control Chart Patterns
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 4
%P 29-33
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and rapid detection of the drifts of their evolutions. In this paper, a NEURO-FUZZY architecture is used to recognize control charts pattern (CCPR). Several forms and architectures have been tested and the results found show that the chosen architecture leads to the best recognition quality.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Neuro-Fuzzy Inference System (ANFIS) Statistical Process Control (SPC) Control Charts (CC) Control Charts Pattern (CCP).

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