Blending of missile control modes with neural networks

J. Farges, P. Fabiani, S. L. Ménec
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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.
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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)。
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