搜索资源列表
CS
- 上传了几个基于“当前”统计模型的机动目标跟踪的程序，包括子程序和文献，还有粒子滤波的目标跟踪程序-From a few based on the " current" statistical model for maneuvering target tracking procedures, including routine and literature, as well as particle filter target tracking process
SimuAPSO
- 模拟退火发与粒子群算法的结合，程序可用，收敛的很快-Simulated Annealing and Particle Swarm made the combination of procedures available, fast convergence
PSO
- 粒子群优化算法，由粒子群算法实现目标函数的最优解-PSO, particle swarm algorithm from the optimal solution of objective function
SA
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
copulafit
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
newt
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
newf
- 带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助-Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.
CodeFiltrageParticulaire
- 粒子滤波器在机器人导航中的成功应用，扩展卡尔曼滤波器。-Particle filter in robot navigation in the successful application of extended Kalman filter.
rain_snow
- 下雨，下雪代码 运用粒子系统，新人可以好好学习-Rain, snow code using particle systems, newcomers can learn
pso
- 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
pso-matlab
- 标准粒子群算法的matlab编程 有需要请下载-Standard particle swarm optimization matlab programming
ParticleSystem
- 转载一个简单的粒子效果实现，便于学习粒子系统也可直接使用到自己的程序中。作者在他网站上做了个例子程序 http://www.jhlabs.com/java/particles.html-a simple particle system
ParticleFilter
- particle filter粒子滤波算法的OPENCV实现-particle filter OPENCV particle filter implementation
Particle_filter
- 基于粒子滤波器的机动目标跟踪技术 首先 ， 概 要介绍传统的Kalman滤波器，以及有所改进的扩展Kalman滤波器。 其次，为了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的 跟踪问题，通过概率统计理论详细阐述粒子滤波器基本原理。然后，针对不同的使用 条件，根据粒子滤波器的基本理论做出适当的修改和整理，就得到了四个相关的粒子 滤波器的变型，使用州以JLAB把它们对机动目标的跟踪性能作了详细地计算机模拟 仿真且用均方根误差更加精确地进行了比较。最后，把粒
PF_Theory
- 粒子滤波的基本知识及其应用的ppt，是英文版的，详细的介绍了粒子滤波的重要性采样和重采样原理，还举了几个简单的应用-Basic knowledge of particle filter and its application ppt, is in English, a detailed descr iption of the particle filter importance sampling and resampling principle, also give several simple
shili
- 基于改进粒子群算法的多目标最优潮流计算 基于改进粒子群算法的多目标最优潮流计算-Particle Swarm Optimization Based on Improved Multi-objective Optimal Power Flow
shili3
- 调度问题中的粒子群优化方法及其应用研究 调度问题中的粒子群优化方法及其应用研究-Scheduling Particle Swarm Optimization Method and Its Application Scheduling Particle Swarm Optimization Method and Its Application
constrain
- 基于改进粒子群算法的节能调度下多目标负荷最优分配 -Particle swarm optimization based on improved energy-saving scheduling optimal allocation under the multi-objective particle swarm optimization based on improved energy-efficient multi-objective scheduling optimal allocation
1528963
- 基于粒子滤波算法的移动机器人导航定位研究的硕士论文-Based on particle filter for mobile robot navigation research master' s thesis
pso
- 粒子群算法的源码 主要如何运用于机器人路径规划-pso