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Intelligent Information Processing in Imaging Fuzes

王克勇、郑链、宋承天

2003北京理工大学学报：英文版Engineering被引 1

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 real-time recognition in the imaging fuze. It is shown that based on artificial neural network target recognition and burst point control are feasible.

引用本文（GB/T 7714）