Abstract
<p>There has been much
discussion about the impact and future of artificial intelligence (AI) in our lives
and future generations. Many experts even believe that AI will “rule” the
world. Artificial Neural Networks (ANN) have provided a convenient and often extremely
accurate solution to problems within all fields, and can be seen as advanced
general-purpose regression models that try to mimic the behavior of the human
brain. The adoption and use of ANN-based methods in the Mechanistic-Empirical
Pavement Design Guide is a clear sign of the successful use of neural nets in
geomechanical and pavement systems. This work aims to provide an extensive and
detailed state-of-the-art of the application of ANN models to pavement
management, materials and design problems. Unlike former review articles
published before 2014, this work is more descriptive and makes the review much
more appealing to the reader by highlighting numerically and/or graphically the
effectiveness and possible drawbacks of each ANN application.<br></p>
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献