Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods-Reference-Cited by-同舟云学术

Resilient modulus descriptive analysis and estimation for fine-grained soils using multivariate and machine learning methods

Published:2021-03-15 Issue: Volume: Page:1-16
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Ikeagwuani Chijioke Christopher¹^ORCID,Nwonu Donald Chimobi¹^ORCID,Nweke Chukwuebuka C.²^ORCID

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.

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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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