查询词典 hidden line algorithm

In this paper, a path planning method based on GA is presented. Firstly, the model of the space robot is built to display the mapping of the end velocity and the joint velocity. Then the optimal algorithm based on genetic algorithm is presented to search the optimal solution which minimizes the disturbance of base attitude in the feasible solution space. Finally, an illustrative example is used to verify the feasibility of the algorithm.

基于GA研究机械臂运动对基座的姿态扰动问题，首先，建立空间机器人的运动学模型及空间机器人末端与关节速度之间的映射关系；接着，应用GA作为最优化算法，在空间机器人可行解空间中，寻找最优解得到最优路径，以达到对基座姿态干扰最小的目的；最后，通过数值仿真实验验证算法的实用性。

Time domain algorithm,range-doppler algorithm and wave number domain algorithm are being discussed and compared on this foundation.

在此基础上，分别讨论时域算法、距离——多普勒算法、波数域算法并对其进行了比较，并对波数域算法的并行性做了初步研究。

Its software uses system self-detecting algorithm to assure measurement channel .It uses softening hardware technique software synchronic data sampling to trace the frequency of exterior signal, in other words , it gives sampling control signals 128 times of power net's frequency .It uses Direct Digital Frequency Synthetics algorithm to transform radical sine waveform parameter table into needed current. It uses FFT algorithm to get radical waveform altitude of current ,voltage and resistor .

整个系统在软件设计上采用系统自检验算法保证测量通道可用，采用硬件软化技术--软件锁相环技术，达到对外部信号频率的跟踪，给出频率为电网工频128倍的采样控制信号：直接数字频率合成技术将基波参数表转换成需要的电流信号，采用FFT变换及基波幅度的计算方法得到被测电流、电压基波幅度和电阻大小。

In this article it raises a mathematical model for this problem according to the practical experiences of production, and unifies simulated annealing algorithm with genetic algorithm in view of the model to solve the fast convergence problem and weak partial searching ability problem in genetic algorithm.

根据生产上的实际经验提出了问题的数学模型，针对该模型，将遗传算法和模拟退火算法结合，解决了遗传算法的收敛过快以及局部搜索能力不强的问题。

Premature convergence and weak local optimization are two key problems existing in the conventional genetic algorithm. To overcome the shortcomings, an improved genetic algorithm based on the particle swarm algorithm is proposed.

针对传统遗传算法中存在的易陷入局部最优解和后期收敛速度慢的问题，基于粒子群算法，对传统遗传算法作了改进，提出了一种基于粒子群算法的遗传算法。

Compared with the PID parameter optimization method using the genetic algorithm, the proposed method, which inherits the advantages of the genetic algorithm and the simulated annealing algorithm, can overcome some disadvantages such as premature convergence, weak local searching ability and low computing efficiency.

该方法继承了遗传算法和模拟退火算法这两者的优点，与采用常规遗传算法的PID参数整定方法相比较，这种方法在克服解早熟、增强局部寻优能力和提高计算效率等方面都有明显的改进。

There are some disadvantages in BP algorithm, such as low rate of convergence, easily falling into local minimum point and weak global search capability. In order to settle these problems, a genetic algorithm was used to train BP neural network to replace classical learning algorithms. An evolutionary neural network learning algorithm was founded.

针对BP算法存在收敛速度慢、容易陷入局部极小值及全局搜索能力弱等缺陷，采用遗传算法训练BP神经网络，取代了一些传统的学习算法，设计了基于进化神经网络的学习算法。

This paper will analyze the reason that the performance of imbalanced data is weak,and improve this classical Boosting algorithm by restraining from overfitting and controlling the F-Measure of minority class,and propose an improved algorithm named RIFBoost,and then compare this new algorithm with some traditional classified algorithms on WEKA system.

从分析非平衡数据分类性能差的原因入手，通过抑制过度拟合与对少数类的F度量的控制对经典推进算法进行改进，提出了一种改进算法RIFBoost，然后将算法在WEKA系统上与几个传统的分类算法进行了比较。

Some key algorithms were researched here: a "cut-and-sew" algorithm was presented here to resolve the reconstruction problem of adjacent section contour lines which different from shape and polygon vertex count; a random polygon triangulation algorithm based on CDT was studied to resolve the modeling problem of complex geological model with stones and holes inside; a grid-constraining algorithm of judging whether a point is in a polyhedron was studied here to construct the corresponding geological block model which constrained to wire frame model.

研究了构模过程中的若干关键算法：提出"切开-缝合"算法，解决了形状和顶点数目差异较大的相邻剖面轮廓线重构三维形体模型问题；研究了基于约束Delaunay三角剖分的任意多边形三角剖分算法，解决了含夹石或孔洞的复杂地质体构模问题；研究了判断点在多面体内的网格约束算法，以线框模型为约束构建了相应的地质块段体模型。

It is difficult to control a single inverted pendulum system because of the characteristics of multi-variable, nonlinear and absolutely instability of the system. A controller based on adaptative neuro-fuzzy inference system is designed by using Matlab/Simulink software in the paper. For the sampling data the hybrid algorithm of back propagation algorithm and least squares algorithm is applied in the paper. Thus the parameters of membership function are adjusted and all of the fuzzy rules are generated automatically.

摘 要：针对单级倒立摆系统具有多变量、非线性、绝对不稳定的特点，本文应用Matlab/Simulink 设计了用于倒立摆系统的基于自适应神经模糊推理系统的ANFIS控制器，采用反向传播算法和最小二乘算法的混合算法对倒立摆控制样本数据进行学习，调整各变量的隶属度函数，自动产生模糊规则。

Many will continue to choose to live in duality and in conflict.

许多人将继续选择活在二元对立性和冲突中。

I find that students of the University of Physical Education all wear sportswear at first sight.

我发现：体育大学的学生乍一看，都是穿运动衣，大家都一样