Study on effectiveness evaluation of missile weapon system based on rough set theory and neural network

被引：0

作者：

Gu, Hui ^{[1
]}

Song, Bifeng ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Coll Aeronaut, Xian 710072, Peoples R China

来源：

Proceedings of the Fifth International Conference on Information and Management Sciences | 2006年 / 5卷

关键词：

weapon system; effectiveness; rough set; reduction of knowledge; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the authors present a new method for assessing the effectiveness of missile weapon system based on rough set and neural network. How to select the key parameters of missile weapon system is the first place. The key parameters of missile weapon system are selected based on reduction. of knowledge. A parameter effectiveness model is established by using neural network. The method is illustrated through an example. The comparing results show that the neural network is more accurate than the index method based on multiple linear regressions.

引用

页码：212 / 215

页数：4

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