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基于空间分布权系数Kriging邻域选点算法
引用本文:孙立双,王恩德,王井利,马运涛. 基于空间分布权系数Kriging邻域选点算法[J]. 沈阳建筑工程学院学报(自然科学版), 2007, 23(3): 423-426
作者姓名:孙立双  王恩德  王井利  马运涛
作者单位:[1]东北大学资源与土木工程学院,辽宁沈阳110004 [2]沈阳建筑大学土木工程学院,辽宁沈阳110168
基金项目:高等学校博士学科点专项科研项目
摘    要:目的优化克立格邻域选点算法.方法通过建立估值点周围邻域点间空间分布权系数的函数。确定参与克立格估值计算的邻域点.结果提出了基于空间分布权系数邻域选点算法,通过交叉验证,采用空间分布权系数邻域选点算法进行估值计算具有较高精度.结论该算法不仅考虑了同一象限内估值点与邻域点距离关系,同时也考虑了邻域点之间空间相关程度。采用空间分布权系数方法选择邻域点进行估值精度高于采用普通象限搜索法选择邻域点进行估值的精度.

关 键 词:空间分布权系数  邻域选点  克立格  交叉验证
文章编号:1671-2021(2007)03-0423-04
修稿时间:2006-12-31

Selecting Neighborhood Points Algorithm Based on Space Distribution Weight Coefficient
SUN Lishuang,WANG Ende,WANG Jingli,MA Yuntao. Selecting Neighborhood Points Algorithm Based on Space Distribution Weight Coefficient[J]. Journal of Shenyang Archit Civil Eng Univ: Nat Sci, 2007, 23(3): 423-426
Authors:SUN Lishuang  WANG Ende  WANG Jingli  MA Yuntao
Abstract:In order to optimize the algorithm of selecting Kriging neighborhood points,this paper introduces a new algorithm based on space distribution weight coefficient.According to space distribution function of estimating point,some points can be selected to calculate its value,and then the model may be proved on the basis of the cross-validation.It has a high precision according to the cross-validation,adopting pace distribution weight coefficient algorithm to calculate point value.The common quadrant searching algorithm only considers the distance of estimating point and its neighborhood points in the same quadrant,while this algorithm modifies such a defect.It is worth practicing.
Keywords:space distribution weight coefficient  neighborhood selecting point  Kriging  cross-validation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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