Bio-inspired optimization of weighted-feature machine learning for strength property prediction of fiber-reinforced soil

作者：

Highlights：

• A novel system is developed based on optimized weighted-feature machine learning.

• A dataset of fiber-reinforced soil is used to evaluate the prediction system.

• Optimized weighted-feature machine learning provides greater accuracy than prior proposals.

• Geotechnical engineers can use the developed expert system in design applications.

摘要

•A novel system is developed based on optimized weighted-feature machine learning.•A dataset of fiber-reinforced soil is used to evaluate the prediction system.•Optimized weighted-feature machine learning provides greater accuracy than prior proposals.•Geotechnical engineers can use the developed expert system in design applications.

论文关键词：Feature-weighted machine learning,Swarm intelligence optimization,Expert system,Engineering application,Peak shear strength,Fiber-reinforced soil

论文评审过程：Received 23 July 2020, Revised 2 March 2021, Accepted 10 April 2021, Available online 16 April 2021, Version of Record 24 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115042