Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

作者：

Highlights：

• This research proposes an AI approach for slope evaluation.

• The method is based on the Least Squares Support Vector Classification.

• The Firefly Algorithm is used to optimize the assessment model.

• A dataset that contains 168 real slopes is utilized to construct the AI model.

• Experiments prove that the new method is a superior tool for slope evaluation.

摘要

•This research proposes an AI approach for slope evaluation.•The method is based on the Least Squares Support Vector Classification.•The Firefly Algorithm is used to optimize the assessment model.•A dataset that contains 168 real slopes is utilized to construct the AI model.•Experiments prove that the new method is a superior tool for slope evaluation.

论文关键词：Slope assessment,Metaheuristic,Machine learning,Least squares support vector classification,Firefly algorithm

论文评审过程：Received 10 December 2014, Revised 15 October 2015, Accepted 17 October 2015, Available online 24 October 2015, Version of Record 18 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.020