| 一种基于模糊理论和神经网络的水雷状态识别方法 |
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| 引用本文： | 张小兵,周穗华. 一种基于模糊理论和神经网络的水雷状态识别方法[J]. 海军工程大学学报, 2000, 0(3): 77-80 |
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| 作者姓名： | 张小兵 周穗华 |
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| 作者单位： | 海军工程大学兵器工程系 |
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| 摘 要： | 介绍了一种基于模糊集合和神经网络的水雷状态识别方法 .该方法根据实际情况 ,将模糊集合和径向基函数神经网络结合起来 ,用于水雷状态的识别 .仿真结果表明 ,这种识别方法性能稳定 ,且有很高的识别精度 .
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| 关 键 词： | 水雷 模糊集 神经网络 模式识别 特征 |
| 修稿时间： | 1999-12-08 |
A Method about Mine State Classification Based on Fussy Sets and Artificial Neural Network |
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| Zhang Xiaobing Zhou Suihua. A Method about Mine State Classification Based on Fussy Sets and Artificial Neural Network[J]. Journal of Naval University of Engineering, 2000, 0(3): 77-80 |
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| Authors: | Zhang Xiaobing Zhou Suihua |
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| Affiliation: | Zhang Xiaobing Zhou Suihua |
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| Abstract: | A new method about mine state classification based on fussy sets and artificial neural network is introduced. In this method, fussy sets are combined with artificial neural network to recognize the pattern of mine state. Test result shows that this method is stable and has significant classification accuracy. |
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| Keywords: | mine fussy sets neural network pattern recognition characteristic |
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