| 基于人工神经网络的水下探测目标的自动识别 |
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| 引用本文： | 代宏伟.基于人工神经网络的水下探测目标的自动识别[J].毕节学院学报,2011,29(8):112-117. |
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| 作者姓名： | 代宏伟 |
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| 作者单位： | 毕节学院数学与计算机科学学院,贵州毕节,551700 |
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| 摘 要： | 通过把人工神经网络引入到水下目标识别这一研究领域中,利用样本干涉图像对神经网络进行训练,用已训练好的神经网络对待识别的干涉图像来进行判别和分类从而达到自动识别的目的。然后根据这种方案设计出识别算法,运用VC++进行软件编程,在电子计算机上进行仿真实验;最后从识别准确率和识别速度两个方面对这种识别方案进行分析,实验结果表明这种识别方案具有可行性。
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| 关 键 词： | 干涉图像 水下探测 神经网络 自动识别 |
Based on Artificial Neural Networks Automatic Recognition of Underwater Target Detection on Behalf of the Grand |
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| DAI Hong–wei.Based on Artificial Neural Networks Automatic Recognition of Underwater Target Detection on Behalf of the Grand[J].Journal of Bijie University,2011,29(8):112-117. |
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| Authors: | DAI Hong–wei |
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| Institution: | (School of Mathematics and Computer Science of Bijie University,Bijie,Guizhou 551700,China) |
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| Abstract: | This paper introduces the artificial neural networks to the underwater target recognition in this field of research, using samples of interference images for training the neural network, using the trained neural networks have been identified to treat the interference image to be to achieve the automatic identification and classification of identification purposes. Then acts according to this kind of project design recognition algorithm, carries on the software programming using VC＋＋, carries on the simulation experiment on the electronic accounting machine; Finally, recognition accuracy and recognition speed are two aspects of this recognition program, experimental results show that the recognition plan is feasible. |
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| Keywords: | Interference Image Underwater Exploration Neural Network Automatic Identification |
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