Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 32, Issue 2, Pages 336-348Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2005.11.029
Keywords
bridge risk assessment; artificial neural network; the evidential reasoning approach; multiple regression analysis; performance measurement
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Funding
- Engineering and Physical Sciences Research Council [GR/S66770/01] Funding Source: researchfish
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Artificial neural network (ANN), the evidential reasoning (ER) approach and multiple regression analysis (MRA) can all be utilized to model bridge risks, but their modelling mechanisms and performances are quite different and therefore need comparison. This study compares the modelling mechanisms of the three alternative approaches and their performances in modelling a set of bridge risk data. It is found that ANN outperforms the ER approach and MRA for the considered case study. The reason for this is analyzed. The advantages and disadvantages of the three alternative approaches are also compared. (C) 2005 Elsevier Ltd. All rights reserved.
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