| 基于遗传算法的神经网络被动声呐目标分类研究 |
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| 引用本文： | 高翔,陈向东,宋爱国,陆佶人.基于遗传算法的神经网络被动声呐目标分类研究[J].声学技术,1998,17(4):169-172. |
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| 作者姓名： | 高翔 陈向东 宋爱国 陆佶人 |
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| 作者单位： | 东南大学无线电工程系 |
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| 摘 要： | 被动声呐目标识别系统中目标分类器的设计和训练是一项重要内容，本文设计了目标分类器的神经网络结构，提出了一种用改进的遗传算法训练神经网络分类器的新方法，最后，对海上实录的Ａ，Ｂ，Ｃ三类目标噪声进行了分类识别，实验结果表明基于遗传算法的神经网络分类器比传统的基于ＢＰ算法的神经网络分类源泛化性能有明显提高。
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| 关 键 词： | 声呐 目标分类 遗传算法 神经网络 |
| 收稿时间： | 1998/6/22 0:00:00 |
| 修稿时间： | 1998/9/2 0:00:00 |
Study on neural network classifier of passive sonar target based genetic algorithm |
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| GAO Xiang,CHEN Xiang-dong,SONG Ai-guo and LU Ji-ren.Study on neural network classifier of passive sonar target based genetic algorithm[J].Technical Acoustics,1998,17(4):169-172. |
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| Authors: | GAO Xiang CHEN Xiang-dong SONG Ai-guo and LU Ji-ren |
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| Affiliation: | Department of Radio Engineering, Southeast University, Nanjing 210018;Department of Radio Engineering, Southeast University, Nanjing 210018;Department of Radio Engineering, Southeast University, Nanjing 210018;Department of Radio Engineering, Southeast University, Nanjing 210018 |
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| Abstract: | The targets classifier is a key element in passive Sonar target recognition systems.In this paper,the structure of neural network targets classifier is designed.We proposed a novel method for training neural network targets classifier by using an improved Genetic Algorithm (GA).The targets classifier is used to classify three different classes of targets:A,B and C.The result of experiment shows that the preformance of GA based neural network targets classifier is better than that of Back propagation algorithm based neural network targets classifier. |
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| Keywords: | sonar targets classification genetic algorithm neural network |
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