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Reseach Article

Improved Multi-Layer Perceptron for Recognition of Control Chart Pattern

by O. El Farissi, H. Elboujaoui
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 36
Year of Publication: 2020
Authors: O. El Farissi, H. Elboujaoui
10.5120/ijca2020920537

O. El Farissi, H. Elboujaoui . Improved Multi-Layer Perceptron for Recognition of Control Chart Pattern. International Journal of Computer Applications. 176, 36 ( Jul 2020), 39-42. DOI=10.5120/ijca2020920537

@article{ 10.5120/ijca2020920537,
author = { O. El Farissi, H. Elboujaoui },
title = { Improved Multi-Layer Perceptron for Recognition of Control Chart Pattern },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 36 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number36/31438-2020920537/ },
doi = { 10.5120/ijca2020920537 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:44:23.220657+05:30
%A O. El Farissi
%A H. Elboujaoui
%T Improved Multi-Layer Perceptron for Recognition of Control Chart Pattern
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 36
%P 39-42
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This work presents a prediction of control chart pattern using a Neural Network Multilayer. A Multilayer model configuration of one hidden layer with nonlinear sigmoid activation and the Bayesian algorithm, is used. Good results with hay accuracy obtained shows that the neural network is performant to predict the control chart pattern.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Neural Network Multi-Layer Perceptron (MLP) Control Charts Control Charts Pattern (CCP)