✦ LIBER ✦

Multivariate adaptive regression (MARS) and hinged hyperplanes (HHP) for doweled pavement performance modeling

✍ Scribed by Nii O. Attoh-Okine; Ken Cooger; Stephen Mensah

Book ID: 104017037
Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 154 KB
Volume: 23
Category: Article
ISSN: 0950-0618
DOI: 10.1016/j.conbuildmat.2009.04.010

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✦ Synopsis

a b s t r a c t Standard neural networks in infrastructure performance modeling cannot handle discontinuities in the input training data set, and the performance can in some cases be an issue in the presence of higher frequency and higher order non linearity in pavement condition, traffic and other environmental data. This makes the traditional neural network more of a ''black box" with limited physical explanation of the results. This paper is a comparative analysis between multivariate adaptive regression and hinged hyperplanes for doweled pavement performance modeling.

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