摘要
通过识别船舶尾流可以有效地反映出船舶的自身参数,从而能帮助海军航空兵的侦察工作。随机梯度遗传算法是在传统的遗传算法的基础上,融合了局部搜索,这样更有利于种群的收敛性。本文将此算法应用于船舶尾流识别,通过最后的实验结果可以看出,随着迭代次数的增大,不同航速下的船舶尾流目标识别率会增大,但是并不是匀速的增大。
The ship's wake can be effectively reflected by the identification of ship wake, which can help the Navy Aviation reconnaissance work. Stochastic gradient genetic algorithm is based on the traditional genetic algorithm, which combines the local search. This is more conducive to the convergence of the population. In this paper, the algorithm was applied to the identification of ship wake. Finally, the experimental results showed that with the increase of the number of iterations,the target recognition rate increased, but it was not uniform.
出处
《舰船科学技术》
北大核心
2017年第3X期25-27,共3页
Ship Science and Technology
基金
浙江省自然科学基金资助项目(LY14F030007)
浙江省自然基金资助项目(LY14F020010)
关键词
随机梯度遗传算法
局部搜索
尾流目标识别
stochastic gradient genetic algorithm
local search
wake target recognition
