Identification of Spring-Force Factors of Suspension Systems Using Progressive Neural Network on a Validated Computer Model-Reference-Cited by-同舟云学术

Identification of Spring-Force Factors of Suspension Systems Using Progressive Neural Network on a Validated Computer Model

Published:2003-01 Issue:1 Volume:11 Page:55-74
ISSN:1068-2767
Container-title:Inverse Problems in Engineering
language:en
Short-container-title:Inverse Problems in Engineering

Author:

Xu D.,Yap F.F.,Han X.,Wen G.L.

Publisher

Informa UK Limited

Subject

Applied Mathematics,Engineering (miscellaneous)

Link

http://www.tandfonline.com/doi/pdf/10.1080/1068276021000020177

Reference19 articles.

1. Eppinger, R.H., King, A.I. and Lee, R.A. Experimental and mathematical simulation of a multiwheeled vehicle with and without an elastic track. Proceedings of the 2nd International Conference on Vehicle Mechanics. pp.275–286. Paris

2. Tracked Vehicle Ride Dynamics Computer Program

3. ASME Paper No. 85-DET-95;McCullogh M.K.,1985

4. Bennett, M.D. and Penny, P.H.G. The assessment of tracked vehicle suspension using computer simulation techniques. IMCH conference publications, 1985-5, cl 12/85. pp.103–117.

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