Deformation prediction of tunnel surrounding rock mass using CPSO-SVM model

• 作 者: 李邵军 赵洪波 茹忠亮
• 机 构: StateKeyLaboratoryofGeomechanicsandGeotechnicalEngineering（InstituteofRockandSoilMechanics,SchoolofC
• 出 处: 中南大学学报：英文版
• 发表日期: 2012年11期
• 关键词: SVM模型 变形预测 隧道围岩 粒子群优化 岩体 混沌映射 支持向量机 PSO deformation prediction tunnel chaotic
• 基金项目: Project（NCET-08-0662） supported by Program for New Century Excellent Talents in University of China, Project（2010CB732006）supported by the Special Funds for the National Basic Research Program of Chin

A new method integrating support vector machine (SVM),particle swarm optimization (PSO) and chaotic mapping (CPSO-SVM) was proposed to predict the deformation of tunnel surrounding rock mass.Since chaotic mapping was featured by certainty,ergodicity and s