International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 176 - Issue 36 |
Published: Jul 2020 |
Authors: O. El Farissi, H. Elboujaoui |
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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 }, year = { 2020 }, volume = { 176 }, number = { 36 }, pages = { 39-42 }, doi = { 10.5120/ijca2020920537 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2020 %A O. El Farissi %A H. Elboujaoui %T Improved Multi-Layer Perceptron for Recognition of Control Chart Pattern%T %J International Journal of Computer Applications %V 176 %N 36 %P 39-42 %R 10.5120/ijca2020920537 %I Foundation of Computer Science (FCS), NY, USA
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.