Artificial Neural Network for Transportation Infrastructure Systems

被引：7
|
作者：
Gharehbaghi, Koorosh [1 ]
机构：
[1] RMIT Univ, Melbourne, Vic, Australia
来源：
2016 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION AND TRAFFIC ENGINEERING (ICTTE 2016) | 2016年 / 81卷
关键词：
D O I：
10.1051/matecconf/20168105001
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Artificial Neural Networks (ANNs) represents the overall interconnection of the systems together with numeric weighting that can be tuned based on experience, system Inputs, Processing and Outputs. Moreover, the real advantage of ANNs is the ability to solve complex system problems such as one which are found within the Transportation Infrastructure Systems. Artificial Neural Networks (ANNs) for Transportation Infrastructure System must incorporate system engineering techniques that will be sustainable for future years and maintained at acceptable levels. Accordingly, this paper will introduce the concept of Artificial Neural Networks (ANNs) and its core functions for the optimization of Transportation Infrastructure Systems in particular the maintenance processes.
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页数：5
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