| 一种有效的神经网络检测器 |
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| 引用本文： | 胡卫东,郁文贤,郭桂蓉.一种有效的神经网络检测器[J].国防科技大学学报,1997,19(3):16-20. |
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| 作者姓名： | 胡卫东 郁文贤 郭桂蓉 |
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| 作者单位： | 国防科技大学ＡＴＲ重点实验室 |
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| 摘 要： | 本文提出了一种有效的神经网络检测方法。该方法通过高效的自组织学习过程，使该神经网络对各种噪声或杂波分布能够快速准确地建模，最终能使在各种噪声分布条件下检测效果均逼近最佳检测器的性能。实验结果验明了该方法的有效性
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| 关 键 词： | 检测器，神经网络，自组织，快速建模 |
| 收稿时间： | 1996/10/16 0:00:00 |
An Effective Neural Network Detector |
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| Hu Weidong,Yu Wenxian and Guo Guirong.An Effective Neural Network Detector[J].Journal of National University of Defense Technology,1997,19(3):16-20. |
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| Authors: | Hu Weidong Yu Wenxian and Guo Guirong |
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| Institution: | ATR Lab. NUDT, Changsha, 410073;ATR Lab. NUDT, Changsha, 410073;ATR Lab. NUDT, Changsha, 410073 |
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| Abstract: | An effective detection method based on the neural network is proposed in this paper. By the self organizing learning in high efficiency,it can model different kinds of noise or clutter rapidly and accurately.This results in a good detection performance,and this detector can approximate the optimal ones on the condition of different statistical distributions.Finally the experiments have proved the effectiveness of this approach. |
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| Keywords: | detector neural network self organizing fast modeling |
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