Novel hybrid machine learning models including support vector machine with meta-heuristic algorithms in predicting unconfined compressive strength of organic soils stabilised with cement and lime-Reference-Cited by-同舟云学术

Novel hybrid machine learning models including support vector machine with meta-heuristic algorithms in predicting unconfined compressive strength of organic soils stabilised with cement and lime

Published:2022-10-29 Issue: Volume: Page:1-18
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Ngo Trinh Quoc¹,Nguyen Linh Quy¹,Tran Van Quan¹

Affiliation:

1. University of Transport Technology, Hanoi, Vietnam

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2022.2136374

Reference54 articles.

1. Blanke, Simon. 2019. Hyperactive: An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. [online]. Available from: https://github.com/SimonBlanke.

2. null

3. Statistical Learning Theory

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