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-C. 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.
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| http://dx.doi.org/10.1016/j.forsciint.2020.110179 | DOI Listing |
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