@article{ref1,
title="Determining vehicle pre-crash speed in frontal barrier crashes using artificial neural network for intermediate car class",
journal="Forensic science international",
year="2020",
author="Mrowicki, Adam and Krukowski, Mateusz and Turoboś, Filip and Kubiak, Przemysław",
volume="308",
number="",
pages="e110179-e110179",
abstract="This paper introduces a new, innovative approach to pre-crash velocity determination, namely the artificial neural networks. A perceptron based on a database obtained from NHTSA (National Highway Traffic Safety Administration) with numerous data concerning frontal vehicle crash tests: i.e. vehicle mass, deformation zone and deformation coefficients C<sub>1</sub>-C<sub>6</sub>. Part of the database entries were used to train the network to develop consistent accuracy and the remainder was used as validation and training sets.<br><br>Copyright © 2020. Published by Elsevier B.V.<p /> <p>Language: en</p>",
language="en",
issn="0379-0738",
doi="10.1016/j.forsciint.2020.110179",
url="http://dx.doi.org/10.1016/j.forsciint.2020.110179"
}