6533b872fe1ef96bd12d4121
RESEARCH PRODUCT
Comparative analysis of vehicle to pole collision models established using analytical methods and neural networks
Witold PawlusJan Eivind NielsenHamid Reza KarimiKjell G. Robbersmyrsubject
EngineeringIdentification (information)Artificial neural networkbusiness.industryRadial basis function neuralLinear modelCurve fittingCrashworthinessControl engineeringbusinessCollisionAlgorithmdescription
This paper presents a comparison between two modeling approaches of vehicle to pole collision. Firstly, analytical and curve fitting methods are explained and subsequently they are utilized to create lumped parameter models. Having parameters of such systems and their responses we proceed to brief description of the radial basis function neural network and its application to the linear models' coefficients' identification. Comparative analysis of the models formulated according to those two different manners is done. (6 pages)
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-01-01 | 5th IET International Conference on System Safety 2010 |