排序方式: 共有17条查询结果,搜索用时 15 毫秒
1.
2.
3.
不确定环境下基于改进萤火虫算法的地面自主车辆全局路径规划方法 总被引:1,自引:0,他引:1
针对地面自主车辆的特点,提出了一种基于改进萤火虫算法(Glowworm Swarm Optimization,GSO)的路径规划方法.首先利用GSO覆盖多个局部最优解的能力,一次生成多条规划路径;然后提出两种路径切换算法,分别用于调优和脱困.在通过路径交叉点时,调优切换算法对交叉路径进行重新评估并切换到较优路径,最终达到实际行驶路径的最优化.在遇到环境发生改变时,脱困切换算法通过启发式搜索快速切换到适当路径,重用了原搜索结果,避免了二次规划.通过大量的仿真实验及实际试用,证明了所提方法的可行性和有效性. 相似文献
4.
6.
骨架保存了要处理对象的拓扑信息,是图像分析的重要研究内容之一.传统的骨架细化算法不能保证结果的准确性,而距离场的方法无法保证结果的连续性.为此提出一种快速有效的骨架提取算法,将经典的距离变换法和细化方法结合,克服二者之间存在的缺陷,实现算法的互补.经过大量实验验证,此方法能够得到连续、准确的骨架,可以很好地满足实际应用的需求. 相似文献
7.
8.
An Experimental Observation of Axial Variation of Average Size of Methane Clusters in a Gas Jet 下载免费PDF全文
Axial variation of average size of methane clusters in a gas jet produced by supersonic expansion of methane through a cylindrical nozzle of 0.8 mm in diameter is observed using a Rayleigh scattering method. The scattered light intensity exhibits a power scaling on the backing pressure ranging from 16 to 50bar, and the power is strongly Z dependent varying from 8.4 (Z = 3mm) to 5.4 (Z = 11mm), which is much larger than that of the argon cluster. The scattered light intensity versus axial position shows that the position of 5mm has the maximum signal intensity. The estimation of the average cluster size on axial position Z indicates that the cluster growth process goes forward until the maximum average cluster size is reached at Z - 9 mm, and the average cluster size will decrease gradually for Z 〉 9 mm. 相似文献
9.
10.
基于Meta-Bootstrapping的中医医案结构化研究 总被引:1,自引:0,他引:1
采用了Meta-Bootstrapping算法提取术语,并设计了术语抽取中所需的模式结构.在对某名医206份医案的术语抽取实验中,方剂名,辨证信息和治则的术语抽取实验F1-测度值分别为72.9%,56.21%和76.64%.在抽取术语的基础上,完成了医案结构化的实验. 相似文献