| 风场中基于神经网络的炸弹弹道落点拟合分析 |
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| 引用本文： | 黄国强,南英,胡海霞.风场中基于神经网络的炸弹弹道落点拟合分析[J].飞行力学,2009,27(4). |
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| 作者姓名： | 黄国强 南英 胡海霞 |
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| 作者单位： | 1. 南京航空航天大学,航空宇航学院,江苏,南京,210016
2. 宜春学院,电子系,江西,宜春,336000 |
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| 摘 要： | 介绍了两种炸弹弹道落点拟合神经网络模型,对各模型的优缺点以及处理结果进行了分析。提出了采用广义回归神经网络来处理炸弹弹道落点拟合问题,弹道的落点参数、初始投放条件与风场可通过神经网络的阈值和权值来表现。仿真结果表明,应用广义回归神经网络进行弹道落点拟合,具有算法可行性好、拟合精度高、速度快等优点,而且运算简单;该方法在实战中有很高的参考价值和工程实用价值。
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| 关 键 词： | 广义回归神经网络 炸弹弹道 弹道落点 风场 拟合 |
Bomb Trajectory Falling Points Fitting and Analysis Based on Neural Network in Wind Field |
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| HUANG Guo-qiang,NAN Ying,HU Hai-xia.Bomb Trajectory Falling Points Fitting and Analysis Based on Neural Network in Wind Field[J].Flight Dynamics,2009,27(4). |
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| Authors: | HUANG Guo-qiang NAN Ying HU Hai-xia |
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| Institution: | 1.College of Aerospace Engineering;NUAA;Nanjing 210016;China;2.Department of Electronic Information;Yichun University;Yichun 336000;China |
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| Abstract: | This paper introduced two kinds of neural network algorithm to fit the bomb trajectory falling points.The merits and processing result of two models were compared and analysed.The method of generalized regression neural network(GRNN) was brought out to deal with the problem of bomb trajectory falling point fitting.The relation of trajectory falling point parameters,initial release conditions and wind fields can be displayed with threshold and weight of GRNN.The results of simulation show that the GRNN metho... |
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| Keywords: | GRNN bomb trajectory trajectory falling points wind field fitting |
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