说明:双击或选中下面任意单词,将显示该词的音标、读音、翻译等;选中中文或多个词,将显示翻译。
您的位置:首页 -> 词典 -> 人势
1)  the momentum of human power
人势
2)  population trends
人口趋势
3)  vulnerable patients
弱势病人
1.
physicians believe in many key tenets of professionalism as they apply to the special circumstances of vulnerable patients,efforts to enhance the professionalism of physicians in the United States should include efforts to change their behaviors with respect to caring for vulnerable patients.
医学职业研究所对美国医生的现实行为的调查说明:医生们是相信且赞同职业精神在对待弱势病人方面的关键信条的;增强美国医生的职业精神的努力,也应该包括努力转变医生照顾弱势病人的行为方面。
4)  artificial potential field
人工势场
1.
A path planning method for mobile robot based on artificial potential field;
基于人工势场法的机器人路径规划
2.
Navigation of mobile robot using improved artificial potential field method;
改进的人工势场法用于移动机器人导航
3.
Research on Reinforcement Learning Problem Based on Artificial Potential Field;
基于人工势场的激励学习问题研究
5)  potential field
人工势场
1.
The artificial potential field method is widely used for mobile robot path planning due to its simplicity and mathematical analysis,However,most reaserches have been focused on solving the path planning in a stationary environment where both targets and obstacles are stationary.
人工势场法由于其简单性和便于数学描述被广泛应用在移动机器人路径规划上,然而多数研究都集中在解决静态路径规划上,即目标和障碍物都是静态的。
2.
Secondly, this thesis introduces some popular methods for path planning, such as the global path planning methods, including artificial potential field, topology, visual graph and free-space method; including the local path planning methods, neural network, fuzzy logic and genetic algorithm and analyzes the advantages and weakpoints of these meth
其次,概括介绍了机器人路径规划的方法,包括全局路径规划方法:人工势场法,栅格法,拓扑法,可视图法,自由空间法,以及局部路径规划方法:神经网络法,模糊逻辑算法,遗传算法等。
6)  artificial potential
人工势场
1.
On the basis of building forward looking sonar view model and artificial potential model,decision control of AUV is made,objects are searched through grads approach,a collision free path is planed.
在建立前视声呐视域模型和人工势场模型的基础上,对AUV进行决策控制,通过梯度逼近法对目标进行搜索,快速规划出一条无碰撞的路径。
2.
The reinforcement learning is adopted to control and decision for AUV,and Q-learning,BP neural net,artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策,综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
3.
The reinforcement learning is adopted to control and decision for Autonomous Underwater Vehicles (AUV), and Q- learning , BP neural net, artificial potential is integrated to local plan for AUV.
主要采用强化学习的方法对自治水下机器人(AUV)进行控制和决策,综合Q学习算法、BP神经网络法、人工势场法对AUV进行局部路径规划。
补充资料:pn结势垒(barrierofp-njunction)
pn结势垒(barrierofp-njunction)

pn结的空间电荷区中,存在由n边指向p边的自建电场。因此,自然形成n区高于p区的电势差Vd。相应的电子势能之差即能带的弯曲量qVd称为pn结的势垒高度。pn结的p区和n区的多数载流子运动时必须越过势垒才能到达对方区域,载流子的能量低于势垒高度,就被势垒阻挡而不能前进,这个垫垒叫做pn结势垒。pn结的势垒高度与两边半导体中的杂质浓度及其分布、温度以及半导体材料的禁带宽度Eg有关。除pn结势垒外,还有金属与半导体接触的接触势垒(肖特基势垒)、半导体表面形成的表面势垒等。势垒高度受外加电场的影响,当外加电场削弱势垒区中电场时,势垒降低,载流子容易通过;外加电场加强势垒区的电场时,势垒高度升高,载流子不易通过。利用pn结势垒这一特性可制成整流、检波等多种半导体器件。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条