Application of Neural Networks for Water Meter Body Assembly Process Optimization

Application of Neural Networks for Water Meter Body Assembly Process Optimization

The proposed model of the neural network (NN) describes the optimization task of the water meter body assembly process, based on 18 selected production parameters. The aim of this network was to obtain a certain value of radial runout after the assembly. The tolerance field for this parameter is 0.2...

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Podrobná bibliografie
Hlavní autoři: Marcin Suszyński, Artur Meller, Katarzyna Peta, Marek Trączyński, Marcin Butlewski, Frantisek Klimenda
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-11-01
Edice:Applied Sciences
Témata:
neural networks
mechanical assembly
optimization
On-line přístup:https://www.mdpi.com/2076-3417/12/21/11160

Internet

https://www.mdpi.com/2076-3417/12/21/11160

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