Streamlining automotive product development using neural networks Online publication date: Wed, 22-Oct-2008
by Jennifer L. Johrendt, Peter R. Frise, Mohammed A. Malik
International Journal of Vehicle Design (IJVD), Vol. 47, No. 1/2/3/4, 2008
Abstract: To remain competitive in the global market, automotive companies scrutinise product development processes for time and cost savings incurred bringing new vehicles to market. As a result, virtual durability simulation can be utilised early in the design process to reduce the number of costly physical prototypes, assuming that high fidelity models are used. The compromise between model accuracy and computational efficiency presents a challenge that will be addressed by the authors. Neural networks, as computationally efficient mathematical models, will be shown as a viable tool for development of high fidelity models of nonlinear hysteretic components within a virtual durability simulation.
Online publication date: Wed, 22-Oct-2008
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com