| 对抗仿真中防空导弹微分对策模型研究 |
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| 引用本文： | 陈治湘,雷虎民,王玮,贺泽维,李永旭.对抗仿真中防空导弹微分对策模型研究[J].现代防御技术,2007,35(3):32-36. |
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| 作者姓名： | 陈治湘 雷虎民 王玮 贺泽维 李永旭 |
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| 作者单位： | 空军工程大学,导弹学院,陕西,三原,713800 |
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| 摘 要： | 针对防空导弹与目标的空间对抗,建立了防空导弹微分对策空间对抗模型,并推算得到了最优策略,运用自适应神经网络评判方法对模型进行求解,通过给定条件下的仿真证明了该算法的有效性,显示了该模型可应用于防空导弹与目标的空间对抗问题。
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| 关 键 词： | 自适应评判神经网络 微分对策 最优策略 对抗 |
| 文章编号： | 1009-086X(2007)-04-0032-05 |
| 修稿时间： | 2006年6月19日 |
Research of the Model Based on Differential Game for SAM in Countermine Simulation |
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| CHEN Zhi-xiang,LEI Hu-min,WANG Wei,HE Ze-wei,LI Yong-xu.Research of the Model Based on Differential Game for SAM in Countermine Simulation[J].Modern Defence Technology,2007,35(3):32-36. |
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| Authors: | CHEN Zhi-xiang LEI Hu-min WANG Wei HE Ze-wei LI Yong-xu |
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| Abstract: | Aim at the countermeasure between missiles and targets in space,the space simulation model based on differential games for SAM was established and its optimal strategy of resistance was deduced Moreover the adaptive critic neural networks arithmetic method was presented and used to calculated the simulation model.The simulation results in case of some conditions testified the arithmetic and showed that this model would be a valid method for space countermine between missiles and targets. |
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| Keywords: | adaptive critic neural networks arithmetic differential game optimal strategy countermeasure |
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