搜索资源列表
particle-swam
- 量子滤波,关于量子滤波数据采集的理论算法。-particle swam optimization with particles Having Quantum Behavior
galaxy
- galaxys and particles in cuda with dubinski.tab
dsaddsafds
- PID控制器的性能取决于其控制参数的组合，针对其参数的整定和优化问题，提出了应用一种改进的粒子群优化算法，该 算法借鉴了遗传算法的杂交机制，并采用惯性权值的非线性递减策略。用以加速算法的收敛速度和提高粒子的搜索能力。将该算 法应用于一个二阶系统的PID控制器参数的优化。仿真结果表明该改进的粒子群算法具有比传统粒子群算法和遗传算法更好的 优化效果，具有一定的工程应用前景。-Abstract：PID controller’s performance completely depends
Snow-OPENGL
- 本程序基于VC++语言和OPenGL语言相结合，利用OPenGL中粒子系统原理，在MFC界面内完成下雪的3D仿真效果。-The program is based on VC++ language and OPenGL language, combining use OPenGL particles in the system principle, in MFC interface snow finish 3 d simulation effect.
Stars-OPENGL
- 本程序基于VC++语言和OPenGL语言相结合，利用OPenGL中粒子系统原理，在MFC界面内完成绘制天上星辰的3D仿真效果。该星辰有动态三维旋转效果。-The program is based on VC++ language and OPenGL language, combining use OPenGL particles in the system principle, in MFC interface of the stars of heaven finish rendering 3
Waterfall-OPENGL
- 该程序基于VC++语言和OPenGL语言相结合，利用OPenGL中粒子系统原理，在MFC界面内完成绘制从天空下雨的3D仿真效果。该界面中主要以其中一点为中兴点喷射弧形粒子，达到仿真效果。-The program is based on VC++ language and OPenGL language, combining use OPenGL particles in the system principle, in MFC interface to finish drawing from t
particles
- 一个简单的粒子系统，不涉及很复杂的类，对于初学者有很大的帮助-A simple particle system does not involve very complex class of great help for beginners
SP_UCI
- The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution
pfc-soil
- 用颗粒流软件PFC生成具有一定形状的土体，并且附上相应的参数。在受力条件下，模拟其力学性能-PFC generates a certain shape of soil particles streaming software, and attach the appropriate parameters. Simulate the mechanical performance under the conditions of the force,
pso2
- 基于c++开发环境的粒子全算法程序，调试结果较为良好，有一定的学习利用价值。-Particles c++ development environment-based algorithm, commissioning more good results, have certain learning use value.
DEFINE-DPM-EROSION
- FLUENT中固体颗粒碰撞壁面造成的磨损-FLUENT solid particles collision wall caused by the wear and tear
liziqunsuanfa
- 所有的粒子都有一个由被优化的函数决定的适应值(fitness value)，每个粒子还有一个速度决定他们飞翔的方向和距离。然后粒子们就追随当前的最优粒子在解空间中搜索。-All of the particles have a fitness value is determined by the function to be optimized (fitness value) of each particle, there is a speed determine the direction an
liduceding
- 本程序对图像进行增强，测量不同半径粒子的数量-This procedure for image enhancement, and measuring the quantity of the different radius particles
PSO2
- PSO聚类算法使用的数据是我们归一化后的数据，利用该数据求总的粒子数m,设置聚类数c（c=4,这个可以确定的），随机选择聚类中心并赋值给各个粒子，随机产生粒子的速度；-PSO clustering algorithm using data owned by a data after the data requirements to the total number of particles in m, set the number of clusters c (c = 4, this can b
Improved-algorithm
- 提出一种新的计算 MIE 散射系数的算法。该算法使用了改进的后向递推公式，可对 MIE 系数中的消光系数 Kext 和散射系数 K sca 进行精确计算。由于新算法能显著地减少计算循环次数， 因此明显缩短了计算时间。对广泛运用的递推法和连分式法进行了比较详细的讨论。并且把新算 法的计算结果和已有的成果进行了比较。结果表明：(1)计算的循环次数与粒子的复折射率基本没 有关系；(2)连分式得到的结果通常最准确；(3)新算法在尺度系数较大时(>1000)，计算时间仅为 连分式
12
- 高能核物理实验 旨在探测原子核结构，检验qed理论，寻找新的粒子及其结构-High-energy nuclear physics experiments designed to detect nuclear structure test of QED theory, the search for new particles and their structure
mtkl
- 跟踪随机粒子,高速相机进行高速连拍，每秒拍照大于500张照片-Tracking of random particles, high-speed cameras for high-speed continuous shooting
psopt20130502b
- Particle swarm optimization is a derivative-free global optimum search algorithm based on the collective intelligence of a large group of intercommunicating entities. The individual particles are simple and primitive, knowing only their own current l
Snow-Falling-and-Accumulating
- 本程序主要功能是模拟雪粒子的从天而降、雪粒子在降落过程中受风影响的飘落效果、雪粒子在船舶甲板表面积累的效果，其中算法包括粒子系统、boltzman三维风场算法、雪粒子表面积累算法等，本人亲自编写。-The main function of the program is simulated snow particles fall from the sky, falling snow particles in the landing process influenced by wind effect
Atomic-displacement-threshold
- 针对相对论带电粒子-电子，用于计算对应不同原子序数的原子位移阈值的所需的入射电子的能量。或者由入射电子的能量，计算传递给原子的最大能量。-Relativistic charged particles- electrons, is used to calculate different atomic number atomic displacement threshold.