MATEC Web Conf.
Volume 81, 20162016 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016)
|Number of page(s)||5|
|Published online||25 October 2016|
Artificial Neural Network for Transportation Infrastructure Systems
RMIT University, Melbourne, Australia
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.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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