文献详情
A statistical multivariable optimization method using improved orthogonal algorithm based on large data
文献类型期刊
作者Zhang, Yidu[1];Chen, Long[2];Wu, Qiong[3];Chen, Zhengsheng[4];Peng, Youyun[5]
机构
2017
期刊名称JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区
通讯作者Wu, Q (reprint author), Beihang Univ, State Key Lab Virtual Real Technol, Beijing, Peoples R China.; Wu, Q (reprint author), Beihang Univ, Sch Mech Engn & Automat, Beijing, Peoples R China.
87
来源信息年:2017  卷:87  期:14  页码范围:2657-2667  
14
期刊信息JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION影响因子和分区  ISSN:0094-9655
页码范围2657-2667
关键词Statistical calculation; multivariable optimization; large data; improved orthogonal algorithm; simulation
增刊正刊
摘要Multivariable optimization under large data environment concerns with how to reliably obtain a set of optimization results from a mass of data that influence the object function complexly. This is an important issue in statistical calculation because the complexity between variable parameters leads to repeated statistical calculation analysis and a significant amount of data waste. A statistical multivariable optimization method using improved orthogonal algorithm based on large data is proposed. Considering the optimization problem with multi-parameters under large data environment, a multi-parameter optimization model used for improved orthogonal algorithm is established based on large data. Furthermore, an extensive simulation study on temperature field distribution of anti-/de-icing component was conducted to verify the validity of the statistical calculation analysis optimization method. The optimized temperature field distribution meets the anti-/de-icing requirements through numerical simulation. Simulation results show that the optimization effect is more evident and accurate than the non-optimized temperature distribution with the optimized results of the proposed method. Results verify the effectiveness of the proposed method.
收录情况SCIE(WOS:000406381400001)  
所属部门计算机学院;机械工程及自动化学院
DOI10.1080/00949655.2017.1339241
学科计算机:跨学科应用;统计学与概率论
百度学术A statistical multivariable optimization method using improved orthogonal algorithm based on large data
语言外文
ISSN0094-9655
人气指数84
浏览次数84
基金National Science and Technology Major Project [2014ZX04001011]; Beijing Municipal Natural Science Foundation [3172021]; Defense Industrial Technology Development Program [A0520110009]; State Key Laboratory of Virtual Reality Technology Independent Subject [BUAA-VR-16ZZ-07]
全部评论(0 条评论)
作者其他论文

Degradation reliability modeling based on an independent increment process with quadratic variance.

Wang, Zhihua;Zhang, Yongbo;Wu, Qiong,等.MECHANICAL SYSTEMS AND SIGNAL PROCESSING.2016,70-71,467-483.

A combined method of thermal and vibratory stress relief.

Lv, Tian;Zhang, Yidu.JOURNAL OF VIBROENGINEERING.2015,17(6),2837-2845.

3D Object Localization by Using Sonarhead Inspired from CF-FM Bats.

Wu, Qiong;Chen, Weihai;Wang, Jianhua.2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA).2011,2133-2138.

Automatic Fastener Classification and Defect Detection in Vision-Based Railway Inspection Systems.

Feng, Hao;Jiang, Zhiguo;Xie, Fengying,等.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT.2014,63(4),877-888.

A method for dependency matrix combination based on port connection relationship.

Chen, Long;Shi, Junyou.2014 International Conference on Prognostics and Health Management, PHM 2014.2015.

登录