Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements
作者：
Highlights：
• Expert information and learning algorithms are combined to define a Bayesian network.
• The causal structure of a multi-scale timber mechanical analysis was modelled.
• Ranking of learning algorithms provided the best network candidates for the analysis.
• Proposed model and operative model provide similar results.
摘要
•Expert information and learning algorithms are combined to define a Bayesian network.•The causal structure of a multi-scale timber mechanical analysis was modelled.•Ranking of learning algorithms provided the best network candidates for the analysis.•Proposed model and operative model provide similar results.
论文关键词：Bayesian Networks,Timber,Multi-scale analysis,Expert systems,Learning algorithms,Ranking
论文评审过程：Received 1 May 2017, Revised 23 September 2017, Accepted 28 September 2017, Available online 3 October 2017, Version of Record 14 October 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.060
