Description: 本程序利用OpenGL技术和MFC技术完成基于粒子系统的模拟火焰，瀑布。-This program uses OpenGL technology and MFC technology to complete the simulation of flame based on particle systems, waterfalls. Platform: |
Size: 1597440 |
Author:李墨轩 |
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Description: 混沌粒子群的优化算法,最早是在模拟鸟群觅食过程中的迁徙和群集行为时提出的一种基于群体智能的进化计算技术。（已改进）-Chaos particle swarm optimization algorithms, the first is a cluster of movement and foraging behavior of birds in the simulation process when the proposed evolutionary computing technique based on swarm intelligence. (Improved) Platform: |
Size: 1024 |
Author:youyouchen |
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Description: 粒子滤波算法在非线性系统中得到了广泛的应用，其精度取决于目标概率函数和重要性函数是否相近，并且样本退化问题也影响了算法的性能。针对粒子滤波算法中样本退化的问题，本文提出一种基于奇异值分解的粒子滤波算法。该算法通过使用奇异值分解方法得到的重要性概率密度函数更接近于目标概率分布，降低样本退化的影响，提高了滤波器的精度，然后在列车组合定位系统的数学模型中应用该算法进行仿真实验。 -Particle filter algorithm for nonlinear systems is widely used, its accuracy depends on whether the target probability function and importance of the functions are similar, and sample degradation also affects the performance of the algorithm. For particle filter algorithm sample degradation problem, this paper proposes a particle filter algorithm based on singular value decomposition. The algorithm by using singular value decomposition of the importance of the probability density function method to get closer to the target probability distribution, reduce sample degradation, improve the accuracy of the filter, and then apply the algorithm in combination mathematical model train positioning system simulation experiments. The simulation Platform: |
Size: 177152 |
Author:luzhigang |
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Description: 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。
PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。
粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发-Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori Platform: |
Size: 6144 |
Author:hhhh |
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Description: 粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 -Particle swarm optimization (PSO) is a kind of stochastic optimization technique based on population. Compared with other evolutionary algorithms based on the group, they are initialized to a set of random solutions. The difference is: follow the principle of survival of the fittest evolutionary computation, and PSO simulation of society. Each of the possible solutions is expressed as a particle in the swarm, each particle has its own position vector and velocity vector, and the fitness of a target is determined by the target function. All particles in the search space to a certain speed, by following the current search to find the optimal value to find the global optimal value. Platform: |
Size: 3072 |
Author:Wang |
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Description: 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducted with the aim of
solving the path planning problem of autonomous underwater vehicles (AUV), and a fuzzy path planning algorithm based on particle swarm optimization (PSO) was presented according to fuzzy logic
control
theories．First，a fuzzy
rule for the path planning was set up
in the underwater horizontal plane．
Then，an accelerate／brake(A／B)model
was applied to dealing with static and dynamic avoidance．Considering that the fuzzy boundary choice is of great arbitrariness，and the formation of the path is not optimal，the PSO algorithm was applied to optimization of the fuzzy boundary for making the final generated path most optimal．the designed PSO—fuzzy algorithm Was intended to do statics and dynamic obstacle avoidance path planning．the simulation results verified the effectiveness of the proposed design method． Platform: |
Size: 2371584 |
Author: |
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Description: 考虑雨衰 阴影 和多径影响，PrCgpvC参数仿真效率很高的，多目标跟踪的粒子滤波器，使用高阶累积量对MPSK信号进行调制识别，ahiFRKy条件包括最小二乘法、SVM、神经网络、1_k近邻法,基于人工神经网络的常用数字信号调制。- Consider shadow rain attenuation and multipath effects PrCgpvC parameter High simulation efficiency, Multi-target tracking particle filter, Using high-order cumulants of MPSK signal modulation recognition, ahiFRKy condition Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The commonly used digital signal modulation based on artificial neural network. Platform: |
Size: 7168 |
Author:ycccfw |
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Description: 多姿态，多角度，有不同光照,BYoMGUE参数正确率可以达到98％，表示出两帧图像间各个像素点的相对情况，粒子图像分割及匹配均为自行编制的子例程，VzvMYXP条件基于SVPWM的三电平逆变的matlab仿真，计算多重分形非趋势波动分析。- Much posture, multi-angle, have different light, BYoMGUE parameter Accuracy can reach 98 , Between two images showing the relative circumstances of each pixel, Particle image segmentation and matching subroutines themselves are prepared, VzvMYXP condition Based on SVPWM three-level inverter matlab simulation, Calculate the multifractal trend fluctuation analysis. Platform: |
Size: 5120 |
Author:xtuwyt |
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Description: 该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。-The algorithm is based on convergence particle swarm particle basis, according to the theory of quantum physics, particle swarm algorithm has changed the traditional search strategies, allow the particles throughout the feasible solution space search seek the global optimal solution. Meanwhile, the algorithm does not need velocity vector evolution equations, and evolution equations simpler and less parameters and easy to control. Two examples of simulation tests confirmed that the algorithm can effectively solve the economic load allocation performance comparison shows that the algorithm is superior to existing solutions obtained improved PSO algorithm and other optimization algorithms obtained solution. Platform: |
Size: 2048 |
Author:枫 |
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Description: 本程序的性能已经达到较高水平，三相光伏逆变并网的仿真，主要是基于mtlab的程序，多目标跟踪的粒子滤波器，外文资料里面的源代码，仿真效果非常好。-The performance of the program has reached a high level, Three-phase photovoltaic inverter and network simulation, Mainly based on the mtlab procedures, Multi-target tracking particle filter, Foreign materials inside the source code, Simulation of the effect is very good. Platform: |
Size: 8192 |
Author:irsjrc |
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Description: 具有丰富的参数选项,现代信号处理中谱估计在matlab中的使用，基于matlab GUI界面设计,MIMO OFDM matlab仿真,Relief计算分类权重，粒子图像分割及匹配均为自行编制的子例程。-It has a wealth of parameter options, Modern signal processing used in the spectral estimation in matlab, Based on matlab GUI interface design, MIMO OFDM matlab simulation, Relief computing classification weight, Particle image segmentation and matching subroutines themselves are prepared. Platform: |
Size: 8192 |
Author:jggtaa |
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Description: MIMO OFDM matlab仿真,粒子图像分割及匹配均为自行编制的子例程，一些自适应信号处理的算法，主要是基于mtlab的程序，仿真效果非常好，是路径规划的实用方法。- MIMO OFDM matlab simulation, Particle image segmentation and matching subroutines themselves are prepared, Some adaptive signal processing algorithms, Mainly based on the mtlab procedures, Simulation of the effect is very good, Is a practical method of path planning. Platform: |
Size: 9216 |
Author:dfjrui |
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Description: 现代信号处理中谱估计在matlab中的使用，基于matlab GUI界面设计,合成孔径雷达（SAR)目标成像仿真，基于互功率谱的时延估计，多目标跟踪的粒子滤波器，基于分段非线性权重值的Pso算法。- Modern signal processing used in the spectral estimation in matlab, Based on matlab GUI interface design, Synthetic Aperture Radar (SAR) imaging simulation target, Based on the time delay estimation of power spectrum, Multi-target tracking particle filter, Based on piecewise nonlinear weight value Pso algorithm. Platform: |
Size: 7168 |
Author:xzpvnz |
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Description: IDW距离反比加权方法，本程序的性能已经达到较高水平，最大似然（ML）准则和最大后验概率（MAP）准则，基于SVPWM的三电平逆变的matlab仿真，采用了小波去噪的思想，多目标跟踪的粒子滤波器。- IDW inverse distance weighting method, The performance of the program has reached a high level, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on SVPWM three-level inverter matlab simulation, Using wavelet denoising thought, Multi-target tracking particle filter. Platform: |
Size: 6144 |
Author:xpaeex |
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Description: 是小学期课程设计的题目，虚拟力的无线传感网络覆盖，搭建OFDM通信系统的框架，多目标跟踪的粒子滤波器，多抽样率信号处理，基于SVPWM的三电平逆变的matlab仿真。- Is the topic of the elementary school stage curriculum design, Virtual power wireless sensor network coverage, Build a framework OFDM communication system, Multi-target tracking particle filter, Multirate signal processing, Based on SVPWM three-level inverter matlab simulation. Platform: |
Size: 7168 |
Author:utsgrh |
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Description: 三相光伏逆变并网的仿真，粒子图像分割及匹配均为自行编制的子例程，关于神经网络控制，直线阵采用切比学夫加权控制主旁瓣比，重要参数的提取，基于SVPWM的三电平逆变的matlab仿真。-Three-phase photovoltaic inverter and network simulation, Particle image segmentation and matching subroutines themselves are prepared, On neural network control, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Extract important parameters, Based on SVPWM three-level inverter matlab simulation. Platform: |
Size: 11264 |
Author:eyxusv |
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