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Intelligent Information Processing in Imaging Fuzes
作者姓名:王克勇  郑链  宋承天
作者单位:SchoolofMechatronicsEngineering,BeijingInstituteofTechnology,Beijing100081,China
基金项目:SponsoredbytheFundforResearchonDoctoralProgramsinInstitutionsofHigherLearning(2 0 0 0 70 4)
摘    要:In order to study the problem of intelligent information processing in new types of imaging fuze,the method of extracting the invariance features of target images is adopted,and radial basis function neural network is used to recognize targets.Owing to its ability of parallel processing,its robustness and generalization,the method can realize the recognition of the conditions of missile-target encounters,and meet the requirements of re-al-time recognition in the imaging fuze.It is shown that based on artificial neural network target recognition and burst point control are feasible.

关 键 词:导弹引信  成像探测  神经网络  目标识别  人工智能  信息处理
收稿时间:3/7/2002 12:00:00 AM

Intelligent Information Processing in Imaging Fuzes
WANG Ke-yong,ZHENG Lian and SONG Cheng-tian.Intelligent Information Processing in Imaging Fuzes[J].Journal of Beijing Institute of Technology,2003,12(1):64-67.
Authors:WANG Ke-yong  ZHENG Lian and SONG Cheng-tian
Affiliation:School of Mechatronics Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:In order to study the problem of intelligent information processing in new types of imaging fuze, the method of extracting the invariance features of target images is adopted, and radial basis function neural network is used to recognize targets. Owing to its ability of parallel processing, its robustness and generalization, the method can realize the recognition of the conditions of missile-target encounters, and meet the requirements of real-time recognition in the imaging fuze. It is shown that based on artificial neural network target recognition and burst point control are feasible.
Keywords:imaging fuze  target recognition  neural network  radial basis function  intelligent information processing
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