摘要
基于对边坡蠕变过程的先验认识,借鉴澳大利亚联邦科学和工业组织数学统计部DvidA.Ratkousky在生物生长规律研究中取得的成果,将S形生长模型和渐近回归模型引入边坡蠕变观测数据处理,能更准确地反映边坡蠕变规律;研究了非线性模型构造。
Based on the experienced knowledge of the course of slope creep deformation.In this article,making use of the achievements that Dvid A.Ratkousky working in CSIRO had achieved in his research for growth law of organisms,Putting the 'S' pattern model of growth and asymptotic regression model to the data analysis and research,the data are obtained from slope creep observation, may disclose the slope creep law more accurately.Many technical problems such as nonlinear model construction, parameters estimation and assessment of optimized models have been discussed. It intends to propose a new way of data analysis about slope creep observation. 6refs.
出处
《湘潭矿业学院学报》
1999年第3期63-67,共5页
Journal of Xiangtan Mining Institute
基金
国家自然科学基金!资助项目 (编号 :4 9774 2 0 9)
湖南省自然科学基金!资助项目 (编号 :970 4 4)
关键词
边坡监测
蠕变
非线性
数据处理
模型优化
slope monitoring, creep deformation, non-linear, data processing, model optimization
