In order to solve the problem of low accuracy of existing hydraulic engineering slope mechanical parameter prediction models,the least squares support vector machine LSSAR is used to predict the hydraulic engineering slope mechanical param-eters(elastic modulus E),and the improved firefly algorithm is used to optimize the model.A hydraulic engineering slope me-chanical parameter prediction model based on DEFA-LSSAR is proposed.We compare the model proposed in this article with the LSSAR model optimized by the Salp Swarm Algorithm,Drosophila Algorithm,and Harris Eagle Optimization Algorithm,re-spectively.The analysis results show that the proposed model has the highest prediction accuracy,reaching over 94%,and has the smallest fitness value,verifying the effectiveness and correctness of the proposed model in this article.
关键词
水利工程/边坡稳定性/最小二乘支持向量机/萤火虫算法/参数预测
Key words
water conservancy project/slope stability/least squares support vector machine/firefly algorithm/parameter prediction
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