[1]路杨,吕欣,周福娜,等. 基于缺失数据估计的PLSS古建筑寿命预测[J].计算机技术与发展,2016,26(06):195-199.
　LU Yang,Lü Xin,ZHOU Fu-na,et al. Prediction of Ancient Building Life for PLSS Based on Missing Data Estimation[J].,2016,26(06):195-199.
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 基于缺失数据估计的PLSS古建筑寿命预测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年06期
页码:
195-199
栏目:
应用开发研究
出版日期:
2016-06-10

文章信息/Info

Title:
 Prediction of Ancient Building Life for PLSS Based on Missing Data Estimation
文章编号:
1673-629X（2016)06-0195-05
作者:
 路杨; 吕欣; 周福娜; 王佳瑜
 河南大学 计算机与信息工程学院
Author(s):
 LU Yang; Lü Xin; ZHOU Fu-na; WANG Jia-yu
关键词:
 ; 数据缺失; 样条变换; 偏最小二乘回归; 古建筑; 寿命预测
Keywords:
 ; data missing; spline transformation; Partial Least-Squares Regression ( PLSS); ancient building;  life prediction
分类号:
TP301
文献标志码:
A
摘要:
 影响木结构古建筑寿命的因素主要包括物理、化学和生物等多个方面，且影响过程是错综复杂的。这些因素之间可能非线性相关，相应观测数据特征提取的完整性决定了其寿命预测的精确性。文中引入基于样条变换的偏最小二乘预测方法，在更高维空间中把非线性预测模型的建立问题转化为线性预测模型的建立问题实现木结构古建筑寿命预测。针对观测数据缺失情况下，基于样条变换的非线性偏最小二乘方法预测精度较低的问题，文中给出一种基于缺失数据估计的非线性偏最小二乘预测方法，以更充分地抽取可用观测数据的特征信息，并将其应用于木结构古建筑寿命预测中。仿真和实验验证结果表明了该方法的有效性。
Abstract:
 The factors that affect the life of the ancient building of the wood structure include many aspects,such as physical,chemical and biological factors,and the process of impact is complicated. These factors may be nonlinear correlation,and the completeness of the corre-sponding observation data feature extraction determines the accuracy of the life prediction. In this paper,the PLS based on spline transfor-mation is introduced,and the problem of building the nonlinear model in higher dimensional space is transformed into it of building the linear model to realize the life prediction of wood structure. In order to estimate the accuracy of the nonlinear PLS method based on the case of the missing data,a nonlinear PLS prediction method is given based on the missing data estimation to extract the feature informa-tion of the available observation data more adequately and used in the life prediction of wood structures. Simulation and experimental veri-fication results show the effectiveness of the proposed method.

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更新日期/Last Update: 2016-09-26