Windshield Shape Optimization Using Neural Network

2004-01-1156

03/08/2004

Event
SAE 2004 World Congress & Exhibition
Authors Abstract
Content
Wipe quality of wiper systems is influenced not only by the definition of the wiper system, but also by the shape of the glass. In order to optimize the overall performance of the system, Valeo Wiper Systems has developed an optimization algorithm, which is based on geometrical criteria. The multi-criteria objective not only considers wipe quality but also constraints by glass feasibility and respect of optical standards. As the direct derivation of the objective functions is not available, a neural network approximation is used at the place of the real function. A neural network with several outputs enables the engineer to include his knowledge in the optimization loop by changing disciplinary weights.
Meta TagsDetails
DOI
https://doi.org/10.4271/2004-01-1156
Pages
12
Citation
Muradore, F., Dreher, T., and Jan, S., "Windshield Shape Optimization Using Neural Network," SAE Technical Paper 2004-01-1156, 2004, https://doi.org/10.4271/2004-01-1156.
Additional Details
Publisher
Published
Mar 8, 2004
Product Code
2004-01-1156
Content Type
Technical Paper
Language
English