Blending of missile control modes with neural networks

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 2003-09-17 DOI:10.1109/NNSP.2003.1318012

J. Farges, P. Fabiani, S. L. Ménec

引用次数: 0

Abstract

A solution using neural networks for the problem of the choice of the control mode of a missile is proposed and implemented. The test on 7000 interceptions shows that this approach makes it possible to reduce the number of failures (miss distance larger than 5 meters) compared to the use of expert rules.

查看原文本刊更多论文

导弹控制模式与神经网络的融合

提出并实现了一种利用神经网络解决导弹控制方式选择问题的方法。对7000次拦截的测试表明，与使用专家规则相比，这种方法可以减少失败次数(脱靶距离大于5米)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)

自引率

0.00%

发文量