Title
A cooperative expert based support vector regression (Co-ESVR) system to determine collar dimensions around bridge pier.
Abstract
In this study, a new procedure to determine the optimum dimensions for a rectangular collar to minimize the temporal trend of scouring around a pier model is proposed. Unlike previous methods of predicting collar dimensions around a bridge pier, the proposed approach concerns the selection of different collar dimension sizes around a bridge scour in terms of the flume׳s upstream (Luc/D), downstream (Ldc/D) and width (Lw/D) of the flume. The projected determination method involves utilizing Expert Multi Agent System (E-MAS) based Support Vector Regression (SVR) agents with respect to cooperative-based expert SVR (Co-ESVR). The SVR agents (i.e. SVRLuc, SVRLdc and SVRLw) are set around a rectangular collar to predict the collar dimensions around a bridge pier. In the first layer, the Expert System (ES) is adopted to gather suitable data and send it to the next layer. The multi agent-based SVR adjusts its parameters to find the optimal cost prediction function in the collar dimensions around the bridge pier to reduce the collar around the bridge scour. The weighted sharing strategy was utilized to select the cost optimization function through the root mean square error (RMSE). The efficiency of the proposed optimization method (Co-ESVR) was explored by comparing its outcomes with experimental results. Numerical results indicate that the Co-ESVR achieves better accuracy in reducing the percentage of scour depth (re) with a smaller network size, compared to the non-cooperative approaches.
Year
DOI
Venue
2014
10.1016/j.neucom.2014.03.024
Neurocomputing
Keywords
Field
DocType
Scour,Collar,Cooperative,Support vector regression,Multi agent system,Expert system
Bridge scour,Pier,Mean squared error,Multi-agent system,Artificial intelligence,Flume,Structural engineering,Expert system,Support vector machine,Collar,Operations research,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
140
0925-2312
7
PageRank 
References 
Authors
0.49
21
7
Name
Order
Citations
PageRank
Afshin Jahangirzadeh1141.08
Shahaboddin Shamshirband251253.36
Saeed Aghabozorgi3222.64
S. Akib4191.91
Hossein Basser570.49
Nor Badrul Anuar663536.94
Miss Laiha Mat Kiah719513.78