期刊文献+

基于小子样Bootstrap法的雷达辐射源特征分选稳定性分析 被引量:1

Analyzing the Stability of the Classification of Radar Emitter' s Features Based on BOOTSTRAP Method
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摘要 雷达辐射源的分选识别算法通常是以正确分选率或识别率为重要指标,但该指标通常是一个点估计值,无法反映系统识别的稳定性和估计精度。本文利用小子样Bootstrap法在有限的实验样本的基础上进行区间估计,并提出了一个特征分选识别率的稳定性判定因子,通过该因子能够量化系统识别率的稳定性。 The right recognition rates are the most important index of recognition or classification of radar emitter,but this point estimation can not indicate the stability of classification and the precision of estimation.This article forms the estimation at confidence interval with the Bootstrap method and presents a stability factor with which the stability of classification can be clearly indicated and quantified.
出处 《成都电子机械高等专科学校学报》 2011年第2期9-12,共4页 Journal of Chengdu Electromechanical College
关键词 BOOTSTRAP 小子样 分选稳定性 Bootstrap Small sample Stability of classification
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参考文献5

  • 1李祖新.雷达对抗面临严重挑战.舰船电子对抗,1999,(1):5-8.
  • 2EFRON B ,TIBSHIRANIRJ. Bootstrap methods for standard errors, confidence interval, and other measures of statistical accuracy [ J ]. Statistical Science, 1982 ( 1 ) :54 - 77.
  • 3EFRON B,TIBISHRANI R. An Introduction to the Bootstrap[ M ]. London. UK:Chapman&Hall Inc. , 1993.
  • 4EFRON B. Bootstrap methods : another look at the Jackknife [ J ]. TheAnnuals of Statistics, 1979,7 ( 1 ) : 1 - 26.
  • 5孙国童,唐硕.仿真试验中Bootstrap方法的应用[J].系统仿真学报,2010,22(6):1347-1349. 被引量:2

二级参考文献7

  • 1李洪双,吕震宙.小子样场合下估算母体百分位值置信下限和可靠度置信下限的Bootstrap方法[J].航空学报,2006,27(5):789-794. 被引量:17
  • 2Efron B, Tibshirani R. An Introduction to the Bootstrap [M]. London, UK: Chapman & Hall Inc., 1993.
  • 3Davison A C, Hinkley D V. Bootstrap Methods and Their Application [M]. Cambridge, UK: Cambridge University Press, 1998.
  • 4Mooney C Z, Duval R D. Bootstrapping: A nonparametric approach to statistical inference [M]. London, UK: Sage Publications, 1993.
  • 5Hall E The bootstrap and edgeworth expansion [M]. New York, USA: Springer-Verlag, 1992.
  • 6Salsburg D. The lady tasting tea: how statistics revolutionized science in the twentieth century [M]. New York, USA: Henry Holt & Company, 2002.
  • 7Michael R Chemick. Bootstrap Methods: A Guide for Practitioners and Researchers [M]. Second Edition. USA: John Wiley & Sons, Inc., 2008.

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  • 1吕学伟,白晨光,邱贵宝,欧阳奇,黄玉明.三种优化烧结配料方法的比较[J].烧结球团,2006,31(2):11-15. 被引量:16
  • 2傅菊英,姜涛,朱德庆.烧结球团学[M].长沙:中南工业大学出版社,1995.
  • 3Meghdadi A H, Akbarzadeh T M R. Probabilistic fuzzy logic and probabilistic fuzzy systems[J]. IEEE International Conference onFuzzy Systems, 2001, 3: 1127-1130.
  • 4Perfilieva I. Fuzzy function as an approximate solution to a system of fuzzy relation equations[J]. Fuzzy Sets and Systems, 2004, 147(3): 363-383.
  • 5Funahashi K I. Multilayer neural networks and Bayes decision theory[J]. Neural Networks, 1998, 11(2): 209-213.
  • 6Sudheep E M, Idikkula S M, Alexander J. Design and performance analysis of data mining techniques based on decision trees and naive bayes classifier for employment chance prediction[J]. Journal of Convergence Information Technology, 2011, 6(5): 89-98.
  • 7Efron B, Tibshirani R J. An introduction to the bootstrap[M]. New York: Chapman & Hall, 1993: 1-200.
  • 8Henderson A R. The bootstrap: A technique for data-driven statistics. Using computer-intensive analyses to explore experimental data[J]. Clinica Chimica Acta, 2005, 359: 1-26.
  • 9Deng Ju-long. Introduction to grey system theory[J]. The Journal of Grey System, 1989, 1(1): 1-24.
  • 10Abdelazim T, Malik O P. Identification of nonlinear systems by Takagi-Sugeno fuzzy logic grey box modeling for real-time control[J]. Control Engineering Practice, 2005, 13: 1489-1498.

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