摘要
在对传统算法进行改进的基础上,提出运用支持向量机的思想,建立航路回归模型.并进行实例分析,结果表明:与传统算法相比,基于支持向量机的航路回归模型建模速度快,计算时间少,可扩充性强,能及时为无人机在未知环境中提供实时航线图.
On the basis of improving traditional algorithm, this paper puts forward the idea of using SVM to establish route-regression model and conducts case study. The result shows that according to traditional arithmetic, this model has faster modeling speed, less training time and stronger expansibility, and can provide real-time route chart on time for UAV in unknown situation.
出处
《重庆工学院学报（自然科学版）》
2009年第5期121-124,共4页
Journal of Chongqing Institute of Technology
