TY - GEN
T1 - Comparing the use of artificial neural networks and case-based reasoning in modeling bridge deterioration
AU - Morcous, G.
PY - 2002
Y1 - 2002
N2 - Bridge Management Systems (BMSs) have been developed to optimize maintenance, rehabilitation, and replacement decisions for bridge networks under budget constraints. The success of these systems depends greatly on their ability to predict the future condition of bridges/bridge components in an accurate and timely fashion. Current BMSs employ deterioration models, such as regression models and Markovian models, for that purpose. Since the late 1990's, artificial intelligence approaches, such as Artificial Neural Networks (ANNs) and Case-Based Reasoning (CBR) have been proposed to develop deterioration models that eliminate the limitations of existing models based on their ability to learn from data and to model complex relationships. In this paper, a comparison of using ANNs and CBR in modeling bridge deterioration is carried out using bridge deck data obtained from the Ministry of Transportation of Quebec. The objective of this comparison is to determine the pros and cons of the two approaches and to guide transportation agencies in selecting the approach that best suits their needs.
AB - Bridge Management Systems (BMSs) have been developed to optimize maintenance, rehabilitation, and replacement decisions for bridge networks under budget constraints. The success of these systems depends greatly on their ability to predict the future condition of bridges/bridge components in an accurate and timely fashion. Current BMSs employ deterioration models, such as regression models and Markovian models, for that purpose. Since the late 1990's, artificial intelligence approaches, such as Artificial Neural Networks (ANNs) and Case-Based Reasoning (CBR) have been proposed to develop deterioration models that eliminate the limitations of existing models based on their ability to learn from data and to model complex relationships. In this paper, a comparison of using ANNs and CBR in modeling bridge deterioration is carried out using bridge deck data obtained from the Ministry of Transportation of Quebec. The objective of this comparison is to determine the pros and cons of the two approaches and to guide transportation agencies in selecting the approach that best suits their needs.
UR - http://www.scopus.com/inward/record.url?scp=33645703601&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33645703601&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33645703601
SN - 1894662016
SN - 9781894662017
T3 - Proceedings, Annual Conference - Canadian Society for Civil Engineering
SP - 2471
EP - 2479
BT - CSCE 30th Annual Conference Proceedings
T2 - Canadian Society for Civil Engineering - 30th Annual Conference: 2002 Chellenges Ahead
Y2 - 5 June 2002 through 8 June 2002
ER -