| Underwater vehicle sonar self-noise prediction based on genetic algorithms and neural network |
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| 作者姓名： | WU Xiao-guang SHI Zhong-kun |
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| 作者单位： | WU Xiao-guang 1，2 and SHI Zhong-kun 1 1. College of Traffic Science and Engineering，Huazhong University of Science and Technology，Wuhan 430074，China; 2. China Ship Development and Design Center，Wuhan 430064，China |
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| 摘 要： | 1Introduction Sonarself noiseisakeyfactorinfluencingthehiding capabilityofanunderwatervehicleanddetectioncapa bilityofsonar.Decreasingsonarself noisehasimpor tanteffectonenhancingtheprobabilityofsonardetec tionandbattleeffectivenessofunderwatervehicle.An …
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| 关 键 词： | 神经网络 自噪声 反向传播 遗传算法 水下噪音 |
| 文章编号： | 1671-9433（2006）02-0036-06 |
| 收稿时间： | 2005-06-27 |
Underwater vehicle sonar self-noise prediction based on genetic algorithms and neural network |
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| WU Xiao-guang SHI Zhong-kun.Underwater vehicle sonar self-noise prediction based on genetic algorithms and neural network[J].Journal of Marine Science and Application,2006,5(2):36-41. |
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| Authors: | Wu Xiao-guang Shi Zhong-kun |
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| Institution: | (1) College of Traffic Science and Engineering, Huazhong University of Science and Technology, 430074 Wuhan, China;(2) China Ship Development and Design Center, 430064 Wuhan, China |
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| Abstract: | The factors that influence underwater vehicle sonar self-noise are analyzed, and genetic algorithms and a back propagation (BP) neural network are combined to predict underwater vehicle sonar self-noise. The experimental results demonstrate that underwater vehicle sonar self-noise can be predicted accurately by a GA-BP neural network that is based on actual underwater vehicle sonar data. |
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| Keywords: | sonar self-noise back propagation (BP) neural network genetic algorithms |
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