| 多传感器目标识别的神经网络与证据理论结合方法 |
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| 引用本文： | 杨露菁,郝威.多传感器目标识别的神经网络与证据理论结合方法[J].舰船电子工程,2005,25(6):95-98. |
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| 作者姓名： | 杨露菁 郝威 |
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| 作者单位： | 海军工程大学,武汉,430033 |
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| 摘 要： | FMM人工神经网络在模式识别和分类中具有独特的优势，D—S证据理论在多传感器决策融合上具有优势。提出了一种FMM神经网络与D—S证据理论相结合的多传感器数据融合目标识别方法，给出计算机仿真结果，表明该方法可以克服单一传感器ATR系统的局限性，提高对目标的识别率和系统的容错性。
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| 关 键 词： | 目标识别 FMM神经网络 D-S证据理论 多传感器数据融合 |
| 收稿时间： | 2005-04-28 |
| 修稿时间： | 2005-05-23 |
Multi-Sensor Target Recognition Method Based on FMM Artificial Neural Network and D-S Evidence Reasoning |
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| Yang Lujing,Hao Wei.Multi-Sensor Target Recognition Method Based on FMM Artificial Neural Network and D-S Evidence Reasoning[J].Ship Electronic Engineering,2005,25(6):95-98. |
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| Authors: | Yang Lujing Hao Wei |
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| Institution: | Naval University of Engineering, Wuhan 430033 |
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| Abstract: | A multi - sensor target recognition method based on FMM artificial neural network and D- S evidence reasoning is presented. Firstly, the structure of the recognition system is introduced, Then related arithmetics are analysed. Finally, simulation result is attained, which shows the advantage of multi- sensor fusion recognition relative to single sensor in enhancing the recognition ratio. |
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| Keywords: | target recognition FMM artificial neural network D-S evidence reasoning multi- sensor data fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
