Applications of Computational Inverse Techniques to Automotive Engineering
نویسندگان
چکیده
Several applications to automotive engineering of the advanced computational inverse techniques have been reported in this paper. The computational inverse techniques, such as gradient based methods with genetic algorithms, intergeneration projection genetic algorithms, progressive neural networks, reduced-base methods, etc. are firstly introduced. After that the applications to automotive engineering for material characterization of the cold-working metal, identification of geometric parameters of drawbead, and identification of spring-force factors of suspension system of tracked vehicles, have been presented to demonstrate the applications to automotive industry.
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