Estimating the Maximum Dry Density of Soil via Least Square Support Vector Regression Individual and Hybrid Forms-Reference-Cited by-同舟云学术

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Estimating the Maximum Dry Density of Soil via Least Square Support Vector Regression Individual and Hybrid Forms

Published:2024-04-30 Issue: Volume: Page:
ISSN:0971-9555
Container-title:Indian Geotechnical Journal
language:en
Short-container-title:Indian Geotech J

Author:

Zhao Qiuduo,Liu Ke,Xiong Chen,Deng Xing,Yang Saifei

Funder

The open competition mechanism to select the best candidates

Key Laboratory of Agricultural Renewable Resource Utilization Technology

Heilongjiang University of Science and Technology the introduction of high-level talent research start-up fund projects

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40098-024-00952-3.pdf

Reference39 articles.

1. Janjua ZS, Chand J (2016) Correlation of CBR with index properties of soil. Int J Civ Eng Technol 7:57–62

2. Duque J, Fuentes W, Rey S, Molina E (2020) Effect of grain size distribution on california bearing ratio (CBR) and modified proctor parameters for granular materials. Arab J Sci Eng 45:8231–8239

3. Preethi S, Tangadagi RB, Manjunatha M, Bharath A (2020) Sustainable effect of chemically treated aggregates on bond strength of bitumen. J Green Eng 10:5076–5089

4. Akpokodje EG (1985) The stabilization of some arid zone soils with cement and lime. Q J Eng Geol 18:173–180

5. Bell FG (1996) Lime stabilization of clay minerals and soils. Eng Geol 42:223–237

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