Estimation of the compaction parameters of aggregate base course using artificial neural networks

Estimation of the compaction parameters of aggregate base course using artificial neural networks

Abstract The process of estimating the compaction parameters namely the maximum dry density (MDD) and optimum moisture content (OMC) through laboratory tests is time-consuming, labor-intensive, and costly. These issues can be avoided by developing prediction models that are able to accurately predic...

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Bibliographic Details
Main Author: Kareem Othman
Format: Article
Language:English
Published: Springer 2022-09-01
Series:SN Applied Sciences
Subjects:
Artificial neural networks
Compaction
Multiple linear regression
Proctor test
Regularization
Weight decay
Online Access:https://doi.org/10.1007/s42452-022-05158-x

Internet

https://doi.org/10.1007/s42452-022-05158-x

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