A self-tuning least squares support vector machine for estimating the pavement rutting behavior of asphalt mixtures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-018-3400-x.pdf
Reference34 articles.
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3. Amin SR, Amador-Jiménez LE (2017) Backpropagation neural network to estimate pavement performance: dealing with measurement errors. Road Mater Pavement Des 18(5):1218–1238
4. Bishop CM (2006) Pattern recognition and machine learning (information science and statistics). Springer, New York
5. Cheng M-Y, Prayogo D (2016) Modeling the permanent deformation behavior of asphalt mixtures using a novel hybrid computational intelligence. Paper presented at the ISARC 2016—33rd international symposium on automation and robotics in construction, Auburn, USA
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