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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model
2022
Geofluids
In the evaluation and prediction of slope stability, the traditional numerical analysis method, which is over reliant on experience, takes a large amount of computing time and lacks the ability to reflect the fuzzy and nonlinear characteristics of slope parameters well. Considering the above characteristics, this study proposes an improved particle swarm optimization of support vector machine (IPSO-SVM) algorithm model, which combines optimized particle swarm optimization (IPSO) and support
doi:10.1155/2022/8529026
fatcat:b7pbelzaffhz7jikbilxhyaz44