期刊名称：Scientific Journal of the Military University of Land Forces
印刷版ISSN：2544-7122
电子版ISSN：2545-0719
出版年度：2011
卷号：160
期号：2
页码：237-246
DOI：10.5604/01.3001.0002.2993
出版社：Military University of Land Forces
摘要：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].
关键词：most; nośność mostu; Military Load Classification (MLC); sztuczne sieci neuronowe; pojazd
