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Research on the H point-anchorage angle of high-angle seat based on BPNN-GA

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Publicado en:Journal of Physics: Conference Series vol. 3043, no. 1 (Jun 2025), p. 012105
Autor principal: Bi, Tengfei
Otros Autores: Sun, Jiawei, Sun, Hongjie, Ma, Qiang
Publicado:
IOP Publishing
Materias:
Seat belts
Hypercubes
Neural networks
Genetic algorithms
Anchorages
Back propagation networks
Latin hypercube sampling
Acceso en línea:Citation/Abstract
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Resumen:In this paper, the changes of safety belt anchorage, H point, and H point-anchorage angle (α1 and α2) with seat back angle and seat pan angle of the high-angle seat are studied. Firstly, the structure of the high-angle seat was analyzed. The research range of the seat back angle and seat pan angle was determined by the three-dimensional H-point test device. Then, Latin hypercube sampling and back propagation neural networks were combined to study the changing trend of α1 and α2. Finally, the genetic algorithm and back propagation neural network were combined to build a model to identify the minimum H point-anchorage angle. The results show that the α1 and α2 tend to increase with the increase of seat pan angle. The proposed model has a recognition error of 4.3% and can identify the minimum H point-anchorage angle seat position.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/3043/1/012105
Fuente:Advanced Technologies & Aerospace Database