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Welcome to Acta Armamentarii ! Today is
Responsible Institution: China Association for Science and Technology
Sponsor: China Ordnance Society
ISSN 1000-1093 CN 11-2176/TJ
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Chinese
Projectile Impact-point Prediction Method Based on Radial Basis Function Neural Network and Unscented Kalman Filter
ZHAO Han-dong, LI Zhi-peng
Acta Armamentarii . 2014, (
7
): 965 -971 . DOI: 10.3969/j.issn.1000-1093.2014.07.004
