| 基于Hopfield神经网络的面目标特征识别方法研究 |
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| 引用本文： | 房玉军,蒋建伟.基于Hopfield神经网络的面目标特征识别方法研究[J].弹箭与制导学报,2009,29(1). |
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| 作者姓名： | 房玉军 蒋建伟 |
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| 作者单位： | 1. 北京理工大学爆炸科学与技术国家重点实验室,北京,100081;中国兵器装备研究院,北京,100089
2. 北京理工大学爆炸科学与技术国家重点实验室,北京,100081 |
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| 摘 要： | 提出了一种基于Hopfield神经网络的面目标特征识别方法。介绍了网络结构、学习算法,编制了相应的计算程序,用该程序对6种不同模拟目标的样本数据进行识别,均被正确识别。结果初步表明,利用Hopfield神经网络进行面目标特征识别是基本可行的。
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| 关 键 词： | 面目标 Hopfield神经网络 特征识别 |
A Recognition Method for Region Objects Based on Hopfield Network |
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| FANG Yujun,JIANG Jianwei.A Recognition Method for Region Objects Based on Hopfield Network[J].Journal of Projectiles Rockets Missiles and Guidance,2009,29(1). |
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| Authors: | FANG Yujun JIANG Jianwei |
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| Affiliation: | 1 State Key Laboratory of Explosion Science and Technology;Beijing Institute of Technology;Beijing 100081;China;2 China Academy of Ordnance Equipments;Beijing 100089;China |
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| Abstract: | A recognition method for region objects based on Hopfield artificial neural network is presented.The structure of network is designed and Hebb learning algorithm is chosen.To test the recognition ability of this network,a program is designed and is used to recognize 6 simplified simulation objects.The objects are all recognized correctly.The results show that region objects can be recognized using Hopfield artificial neural network method. |
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| Keywords: | region objects Hopfield network characteristics recognition |
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