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
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.