USE OF ARTIFICIAL NEURAL NETWORKS TO DETERMINE CLASS OF VEHICLE LOAD

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USE OF ARTIFICIAL NEURAL NETWORKS TO DETERMINE CLASS OF VEHICLE LOAD

Journal Title: Scientific Journal of the Military University of Land Forces - Year 2011, Vol 160, Issue 2

Abstract

The paper is an attempt to use artificial neural networks (ANN) in order to identify military load classification (MLC) of both wheeled and tracked vehicles in accordance with STANAG 2021 on the basis of the specific values of vehicle dimensions and its weight. In order to solve the problem, the authors used linear networks and a multilayer perceptron (MLP). Having analysed the MLC rating results obtained with the ANN, it has been concluded that they do not provide accuracy comparable to the one characterising analytical methods. The ANN proposed was incapable of analysing the MLC properly, in particular the MLC of those vehicles whose geometric characteristics were dissimilar to the hypothetical vehicles included in STANAG 2021 [4].

Authors and Affiliations

Dariusz SKORUPKA, Artur DUCHACZEK , Zbigniew KAMYK

Keywords

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EP ID EP61221
DOI -
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