CONCEPT OF THE USE OF MLP NEURAL NETWORKS IN THE PROCESS OF TRAFFIC DAMAGE LIQUIDATION
Journal Title: Scientific Journals of Silesian University of Technology. Series Transport - Year 2008, Vol 2008, Issue 64
Abstract
In the article the attempt to use the MLP neural network to define the state of the motor-car body deformation as a result of road collision was presented. As the research parameter the size of damage of the car of the aggrieved party was assumed, defined by the work of the motor-car body deformation Wdef. Additionally the usefulness of the MLP network to define the size of traffic damage being a result of a road collision was checked. As the research parameter the size of the damage was assumed, defined by the coefficient dependent on the cost of the damaged car repair and its market value. The elements of the mechanism of the damaging event determining the size of the damage were the interior factors of the system, that is, the technical features of the vehicles, the personal character features of the drivers, the influence of the weather conditions and the location of the event in time and space. The research was conducted on one thousand cases submitted to liquidate in the Silesian branch of one of the insurance companies. In the conducted research the functioning of the neural network for limited amount of initial data was checked.
Authors and Affiliations
Piotr CZECH, Krystian WILK, Rafał ŁUKASIK
Keywords
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- EP ID EP132632
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