位置：成果数据库 > 会议 > 会议详情页
Identifying solid-fluid parameters of the subsea tunnel based on evolutionary ANN
  • 所属机构名称：大连海事大学
  • 成果类型：会议
  • 相关项目：复杂围岩条件下大型洞室群施工期反馈优化的并行智能方法
同会议论文项目
复杂围岩条件下大型洞室群施工期反馈优化的并行智能方法
期刊论文 21 会议论文 11 获奖 2
同项目会议论文
Evolutionary optimizing the anchor parameters of cavern group based on three dimensional numerical s
Study and Apply Rolling Predictive Control Model for Surrounding Rock Displacement Based on PSO-SVM
A Strain-softening Model for Drilling-induced Damage on Boreholes in Williston Basin
大型洞室群施工的集成智能反馈分析
基于粒子群-支持向量机的岩体爆破地震峰值预报
Back analysis of Stress Field for Underground Powerhouse Using Difference Evolutionary Self-Adaptive
Researching the forecast of cement strength based on particle swarm algorithm-support vector mach
The Integrated Intelligence Decision of Underground Metal Mine Stope Structure and Grade Indices
含破碎带岩体隧道动态施工的三维数值模拟
Forecast the risk of water inrush from coal floor based on support vector machine coupled with compo