Study On Metamodel-Based Assessment Method For Integrated Testx

被引:0
|
作者
Huang Xueying [1 ]
Dong Guangling [2 ]
He Chi [2 ]
Bo Yun [2 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Photoelect Measurement & Control Dept, Changchun, Peoples R China
[2] China Baicheng Ordnance Test Ctr, Dept Test Technol, Baicheng, Peoples R China
关键词
Metamodel; Integrated Test; Assessment Method; Regression Analysis; Fitting Performance;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we consider performance assessment method in integrated test. Test and evaluation (T&E) is defined as the demonstration, measurement and analysis of the performance of a system, and the assessment of the results. The importance of system performance assessment model in T&E is illuminated through mathematical description of integrated test. In order to solve the problems that conventional regression analysis can not deal with nonlinear performance output and complex interactions between different factors in T&E of high-tech weaponry, a metamodel-based performance assessment method is put forward. Taking Kriging and radial basis function as examples, contrastive analysis for fitting performances of metamodel and conventional polynomial regression is made. Simulation results show the superiority of metamodel in performance assessment for integrated test.
引用
收藏
页码:219 / 224
页数:6
相关论文
共 50 条
  • [1] An integrated metamodel-based approach to software model refactoring
    Mohammed Misbhauddin
    Mohammad Alshayeb
    [J]. Software & Systems Modeling, 2019, 18 : 2013 - 2050
  • [2] An integrated metamodel-based approach to software model refactoring
    Misbhauddin, Mohammed
    Alshayeb, Mohammad
    [J]. SOFTWARE AND SYSTEMS MODELING, 2019, 18 (03): : 2013 - 2050
  • [3] A metamodel-based representation method for reusable simulation model
    Lei, Yonglin
    Song, Lili
    Wang, Weiping
    Jiang, Caiyun
    [J]. PROCEEDINGS OF THE 2007 WINTER SIMULATION CONFERENCE, VOLS 1-5, 2007, : 830 - 837
  • [4] A sequential metamodel-based method for structural optimization under uncertainty
    Dutta, Subhrajit
    [J]. STRUCTURES, 2020, 26 : 54 - 65
  • [5] A metamodel-based approach to formalizing UML
    Cheng, BHC
    [J]. 25TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE & APPLICATIONS CONFERENCE, 2001, : 278 - 279
  • [6] Metamodel-based collaborative optimization framework
    Parviz M. Zadeh
    Vassili V. Toropov
    Alastair S. Wood
    [J]. Structural and Multidisciplinary Optimization, 2009, 38 : 103 - 115
  • [7] Metamodel-Based Optimisation of XPath Queries
    Marks, Gerard
    Roantree, Mark
    [J]. DATASPACE: THE FINAL FRONTIER, PROCEEDINGS, 2009, 5588 : 146 - 157
  • [8] Metamodel-based collaborative optimization framework
    Zadeh, Parviz M.
    Toropov, Vassili V.
    Wood, Alastair S.
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2009, 38 (02) : 103 - 115
  • [9] Metamodel-based comparison of data models
    Eessaar, Erki
    [J]. ADVANCES AND INNOVATIONS IN SYSTEMS, COMPUTING SCIENCES AND SOFTWARE ENGINEERING, 2007, : 109 - 114
  • [10] A metamodel-based towed system simulation
    Calkins, DE
    [J]. OCEAN ENGINEERING, 1999, 26 (11) : 1183 - 1247