scholarly journals Uso de redes neurais artificiais na obtenção de um sensor virtual em um processo de produção de estireno / Use of artificial neural networks to obtain a virtual sensor in a styrene production process

2021 ◽  
Vol 7 (11) ◽  
pp. 109402-109408
Author(s):  
Ronaldo Dantas De Farias Júnior ◽  
Sérgio Lucena ◽  
Pedro Emanuel Moraes Santos ◽  
Nicolas Anderson Leal Morais Luna
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Production Process ◽  
Virtual Sensor ◽  
Artificial Neural ◽  
Styrene Production

scholarly journals Significance of Manufacturing Process Parameters in a Glassworks

2020 ◽  
Vol 44 (2) ◽  
pp. 39-45
Author(s):  
Łukasz Paśko
Keyword(s):  
Neural Networks ◽  
Sensitivity Analysis ◽  
Artificial Neural Networks ◽  
Production Process ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Multilayer Perceptrons ◽  
Artificial Neural ◽  
Glass Packaging

AbstractThe article presents the use of artificial neural networks (multilayer perceptrons) to examine the significance of production process parameters. The considered problem relates to the occurrence of production periods with an increased number of defective products. The research aims to determine which of the 69 parameters of the manufacturing process most affect the number of defects. Two ways of expressing the parameters significance were used: using the sensitivity analysis and exploring the weights of connections between neurons. The results were determined using both single neural networks and a set of networks. The outcome from the research is the rankings of significance of the manufacturing process parameters. The analyzed data were obtained from a glassworks producing glass packaging.

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