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非线性模型与边坡蠕变观测数据的统计预报分析
引用本文:李朝奎,黄力民,曾卓乔. 非线性模型与边坡蠕变观测数据的统计预报分析[J]. 湖南科技大学学报(自然科学版), 1999, 14(3): 63-67
作者姓名:李朝奎  黄力民  曾卓乔
作者单位:1. 中南工业大学
2. 湘潭矿业学院土木工程系,湖南,湘潭,411201
3. 中南工业大学资源环境与建筑工程学院,湖南,长沙,410083
基金项目: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)
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、参数估计及优化模型的评价等技术问题参7

关 键 词:边坡监测  蠕变  非线性  数据处理  模型优化
修稿时间:1999-03-15

NON-LINEAR MODEL AND NON-LINEAR DATA ANALYSIS ON OBSERVATIONAL DATA OF SLOPE CREEP DEFORMATION
Li Chaokui,Huang Limin,Zeng Zhuoqiao. NON-LINEAR MODEL AND NON-LINEAR DATA ANALYSIS ON OBSERVATIONAL DATA OF SLOPE CREEP DEFORMATION[J]. Journal of Hunan University of Science & Technology(Natural Science Editon), 1999, 14(3): 63-67
Authors:Li Chaokui  Huang Limin  Zeng Zhuoqiao
Abstract: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.
Keywords:slope monitoring   creep deformation   non-linear   data processing   model optimization
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