Deformation Prediction Model for Soft Rock Tunnels Based on IAO-SVM
In order to improve the accuracy of deformation prediction analysis for soft rock tunnels,an improved artemisinin optimization algorithm(IAO)is proposed to optimize the support vector machine(SVM)in the soft rock tunnel deformation prediction algorithm.Aiming at the disadvantages of low search efficiency and easy to fall into local optimization of artemisinin optimization algorithm(AO),an IAO algorithm is proposed by using Circle chaotic mapping initializing population,Sine drug concentration factor and adaptive Levy flight local clearance strategy to improve the optimization performance of the algorithm.IAO algorithm is further applied to optimize the penalty factor and kernel parameters of SVM model,the IAO-SVM prediction model of soft rock tunnel is constructed with the optimal parameters.Taking the construction of a special long tunnel project on a railway under construction as an example,the predictive performance of IAO-SVM model is verified.The results show that the IAO-SVM tunnel deformation prediction model has better prediction accuracy than BP,SVM,and AO-SVM models.The further explanation demonstrates that the IAO-SVM prediction model is applicable for tunnel deformation assessment in practical engineering,providing reliable theoretical support for safe tunnel construction.
soft rock tunneldeformation predictionartemisinin optimization algorithm(AO)support vector machine(SVM)
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