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 heuristic search arithmetic 启发式搜索算法(2)
 启发式搜索算法
 In research of path planning of fruit picking robot the probabilistic roadmap method is adopted to achieve on-line planning with heuristic search arithmetic. 在综合分析路径规划研究的基础上,采用基于概率地图的路径规划方法,运用启发式搜索算法对水果收获机器人机械臂运动路径进行实时规划。 短句来源 In the text, the rectangle encircled arithmetic and revolving reverse arithmetic are adopted to handle the irregular figures and minor faults processing, then transfer the initialization programmer and regulating order programmer to handle the figures, at last adopt improved heuristic search arithmetic and collision detection arithmetic to optimize and arrange the figures. 主要应用了矩形包络算法和旋转对排法来处理不规则图形和瑕疵处理，然后调用初始化程序和定序规则算法对图形进行处理，最后采用改进的启发式搜索算法和碰撞检测算法对处理后的图形进行优化排样。 短句来源
 “heuristic search arithmetic”译为未确定词的双语例句
 The papers mainly adopt improved heuristic search arithmetic and collision detection arithmetic to optimize and arrange the figures. 靠接算法通过待移动区域确定可能发生碰撞的实体，先大步长移动，然后微调，从而减少大量的盲目检测，提高了下料的精度。 短句来源
 相似匹配句对
 STATISTICAL HEURISTIC SEARCH 统计启发式搜索方法 短句来源 On Search 论搜查 短句来源 Heuristic search in test selection 基于启发式搜索策略的测试选择问题研究 短句来源 Search and Rebellion 追寻与反叛 短句来源 On Heuristic Teaching 启发式教学拾零 短句来源

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 The optimization of tool path of holes manufacturing in CAD/CAM system is investigated. Utilizing classical "Traveling Salesman Issue" mathematical model, tool path for manufacturing many holes in machining center is optimized with heuristic searching arithmetic. Point position optimization of many features in CAD/CAM system is realized. Therefore dry_running time is shortened and machining efficiency is increased.oolPathforH 研究了CAD CAM集成系统中孔加工刀具路径的优化问题 ,利用图论中“旅行商问题”的数学模型 ,采用启发式搜索算法 ,对加工中心上多孔加工刀具路径进行了优化。实现了CAD CAM多特征加工的点位最优化 ,使加工路径最短 ,缩短了空走刀时间 ,从而大大提高了加工效率。 Based on analyzing and evaluating on strategies of subject searching ROBOT in common use,an auto integrative crawling strategy of subject searching ROBOT was designed by combing treble filtrating technique with modified heuristic searching arithmetic of Shark in this paper.For considering web relativity,subject precision and web quality at the same time,when using the integrative crawling strategy to download correlative web,it was possible to enlarge the resource degree of coverage through... Based on analyzing and evaluating on strategies of subject searching ROBOT in common use,an auto integrative crawling strategy of subject searching ROBOT was designed by combing treble filtrating technique with modified heuristic searching arithmetic of Shark in this paper.For considering web relativity,subject precision and web quality at the same time,when using the integrative crawling strategy to download correlative web,it was possible to enlarge the resource degree of coverage through link analyzing as well as to ensure the searching results high correlate to the subject. 在分析、评价常用主题搜索ROBOT爬行策略的基础上,将三重过滤技术与改进的Shark启发式搜索算法相结合,设计了自动主题搜索引擎ROBOT的综合爬行策略。由于综合爬行策略在爬行中兼顾了网页的相关性、主题精度和网页质量,因此应用综合爬行策略在Web上下载主题相关网页时,既可利用链接分析扩大某个主题的资源覆盖度,又可保证搜索结果与主题高度相关。 In research of path planning of fruit picking robot the probabilistic roadmap method is adopted to achieve on-line planning with heuristic search arithmetic.At the sampling and searching stage,the density of samples in neighborhood was used as weight to control expansion of roadmap and avoiding over sampling in free space.After finding out best path,we used hierarchical decomposition methods to detect collision,which based on oriented bounding boxes.When picking the fruit,a robot usually needs to... In research of path planning of fruit picking robot the probabilistic roadmap method is adopted to achieve on-line planning with heuristic search arithmetic.At the sampling and searching stage,the density of samples in neighborhood was used as weight to control expansion of roadmap and avoiding over sampling in free space.After finding out best path,we used hierarchical decomposition methods to detect collision,which based on oriented bounding boxes.When picking the fruit,a robot usually needs to round over shelf and pass through narrow region.We simulated these two typical situations with virtual reality technique.The results show that a path planning cycle is less than 0.15 s and meets the request of real-time. 在综合分析路径规划研究的基础上,采用基于概率地图的路径规划方法,运用启发式搜索算法对水果收获机器人机械臂运动路径进行实时规划。在搜索过程中,以位姿点密度作为权重使路径向自由空间扩散,避免过度采样。为提高路径规划速度,采用延迟碰撞检测策略,可有效降低计算量。采用有向包围盒进行碰撞检测。最后利用虚拟现实技术,对水果收获时要绕过的支架和狭窄区域进行三维计算机模拟。结果显示,路径规划时间均小于0.15s,达到实时要求。
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