CAD-Assisted 3D Assembly of Automobile Electrical Switch considering PSO-BP Neural Network Algorithm

The installation of automotive electrical switches is a complex three-dimensional space assembly project which has high requirements for installation accuracy. In order to improve the installation effect of automotive electrical switches, this paper applies the PSO-BP neural network algorithm to aut...

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Veröffentlicht in:Journal of Electrical and Computer Engineering Jg. 2022; S. 1 - 11
1. Verfasser: Zhang, Hanting
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 05.05.2022
John Wiley & Sons, Inc
Wiley
Schlagworte:
Algorithms
Assembly
Back propagation networks
Coordinate transformations
Efficiency
Neural networks
Process planning
Product design
Software
Switches
User interface
ISSN:2090-0147, 2090-0155
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Zusammenfassung:The installation of automotive electrical switches is a complex three-dimensional space assembly project which has high requirements for installation accuracy. In order to improve the installation effect of automotive electrical switches, this paper applies the PSO-BP neural network algorithm to automotive electrical switches and integrates PSO and ELM algorithms. The training speed of the ELM model is fast, the model generalizes the data well, and the noise data have little effect on the model. Moreover, this article combines simulation research to evaluate the effect of this algorithm. After confirming the performance of the effect, this paper uses a case study to study the effect of the application of the PSO-BP neural network algorithm to the automotive electrical switch. The research results show that the CAD-assisted 3D assembly system of automobile electrical switch considering PSO-BP neural network algorithm has a good effect.
Bibliographie:ObjectType-Article-1
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content type line 14
ISSN:2090-0147
2090-0155
DOI:10.1155/2022/6454942