MATEC Web Conf.
Volume 219, 20182nd Baltic Conference for Students and Young Researchers (BalCon 2018)
|Number of page(s)||8|
|Section||Construction Management and Technology|
|Published online||29 October 2018|
Application possibilities of LBN for civil engineering issues
Gdańsk University of Technology, Faculty of Civil and Environmental Engineering,
ul. Narutowicza 11/12,
Corresponding author: firstname.lastname@example.org
Bayesian Networks (BN) are efficient to represent knowledge and for the reasoning in uncertainty. However the classic BN requires manual definition of the network structure by an expert, who also defines the values entered into the conditional probability tables. In practice, it can be time-consuming, hence the article proposes the use of Learning Bayesian Networks (LBN). The aim of the study is not only to present LBN, which can be helpful in civil engineering problems, but also to analyze and evaluate the potential of a selected software. Based on a real example the functional values of the Open Markov, Hugin and AgenaRisk applications were compared.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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