Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods
Author:
Affiliation:
1. Civil Engineering Department, University of Nigeria, Nsukka, Nigeria
2. Sonny Astani Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, CA, USA
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2021.1895993
Reference75 articles.
1. AASHTO, 2008. “Mechanistic-empirical pavement design guide: A manual of practice,” American Association of State Highway and Transportation Officials, United States, 2008.
2. VARIABLE SELECTION AND INTERPRETATION OF COVARIANCE PRINCIPAL COMPONENTS
3. Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
4. Model for prediction of resilient modulus incorporating matric suction for recycled unbound granular materials
5. Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds
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