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Design of Ballistic Consistency Based on Least Squares Support Vector Machine and Particle Swarm Optimization
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作者 张宇宸 杜忠华 戴炜 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2015年第5期549-554,共6页
In order to improve the firing efficiency of projectiles,it is required to use the universal firing table for gun weapon system equipped with a variety of projectiles.Moreover,the foundation of sharing the universal f... In order to improve the firing efficiency of projectiles,it is required to use the universal firing table for gun weapon system equipped with a variety of projectiles.Moreover,the foundation of sharing the universal firing table is the ballistic matching for two types of projectiles.Therefore,a method is proposed in the process of designing new type of projectile.The least squares support vector machine is utilized to build the ballistic trajectory model of the original projectile,thus it is viable to compare the two trajectories.Then the particle swarm optimization is applied to find the combination of trajectory parameters which meet the criterion of ballistic matching best.Finally,examples show the proposed method is valid and feasible. 展开更多
关键词 ballistic matching least squares support vector machine particle swarm optimization curve fitting
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