Evaluation of Hit Precision in Small-Sample Circumstances Based on the Method of Bayes and Bootstrap

被引：0

作者：

Fan, LiMing ^{[1
]}

Wu, Peng ^{[1
]}

Wan, Wei ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Inst 365, Xian, Shaanxi, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VIII | 2010年

关键词：

Bayes estimation; Bootstrap method; Small-sample; Hit precision;

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：

Small-sample method must be used in the performance evaluation of weapon because of its few experiments and inapplicability of the classical method. In this paper, methods of Bayes and Bootstrap are combined to evaluate hit precision of certain weapon system. Comparing of current engineering algorithms and new method by simulation are used to illustrate that classical method is flawed, new method is validated.

引用

页码：14 / 16

页数：3