搜索资源列表
Particle
- 仿真实现了目标跟踪的粒子滤波跟踪，并对误差进行了统计- realize the particle filter
PF-and-EKF-compare
- 一个比较粒子滤波及扩展卡尔曼滤波异同的程序，由Gardon 1999年的paper中而来。-A particle filter and compare similarities and differences between the extended Kalman filter process, from the Gardon 1999 paper in the coming years.
lizilcbo
- 粒子滤波的MATLAB源代码,内有5个独立源代码，带注解 -MATLAB source code particle filter, there are five independent source code, annotated
function
- 求解函数优化的一种改进的粒子群算法，带有详细注释-a pso algorithm for function optimazaion
hybrid_PSO
- 一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高-Hybrid strategy based on improved particle swarm optimization, including the implementation of the program and parameter set hPSOoptions.m hpso.m two source files. Code is c
DVHOP2
- 基于粒子群的DV_hop算法的运用，有很好的效果，定位比较好-Algorithm based on particle swarm DV_hop use, have a good effect, better positioning
DVHOPS
- 基于粒子群和基于PSO和基于遗传算法的DV-hop算法的定位，有比较好的效果-Particle swarm based PSO, based on genetic algorithm DV-hop positioning algorithm, a relatively good results
Desktop
- 基于粒子群的定位系统理论，有很强的理论推导公式，希望对你有用-Positioning system based on particle swarm theory, there is strong theoretical derivation of the formula, you want to be useful
rastrigin PSOHD
- 混沌粒子群优化算法，及其该算法的简单应用-chaos PSO algorithm（A SIMPLE IMPLEMENTATION OF THE PARTICLE SWARM OPTIMIZATION）
psovsafsa-
- 一个完整Matlab程序，实现了粒子群算法与人工鱼群算法的比较，体现了两种算法各自的优缺点-A complete Matlab program to achieve a particle swarm optimization and artificial fish school algorithm, two algorithms reflects the advantages and disadvantages of each
123
- 基于双适应度的粒子群算法，采用matlab编程，收敛效果好，可用于求解最优潮流等电力系统优化问题！-Based on the fitness of the two-particle swarm optimization using matlab programming, convergence effect, and can be used to solve power system optimization such as optimal power flow problem!
matlab
- 探讨了经典的粒子群优化算法，在此基础上，提出了量子粒子群算法（QPSO），该算法具有高效的全局搜索能力-Of the classical particle swarm optimization, on this basis, proposed a quantum particle swarm optimization (QPSO), the algorithm is efficient global search capability
book
- 这是一本研究目标定位跟踪的学习手册（在雷达，声纳，无线传感器网络领域等），采用的方法有最小二乘/极大似然，卡尔曼滤波，蒙特卡洛，粒子滤波等方法，更是很多读者需要的是里面有大量的仿真实例和程序代码，并配以中文注释，读者可以结合书中的原理和公式，对程序有进一步的理解。也适合很多读者在已有的代码的基础上对算法进行改进。-This is a study targeting the learning manual tracking (radar, sonar, wireless sensor networ
PSO-optimize-RBF
- 用粒子群算法优化rbf神经网络算法的源程序-Using the particle swarm optimization algorithm to optimize the neural network algorithm
mamcpso
- 粒子群算法与多智能体系统相结合所编写的算法-Particle swarm optimization with a combination of multi-agent system algorithm written
lssvmMATLAB
- 本程序使用支持向量机法和粒子群算法，实现对数据的分类-This program uses support vector machine method and particle swarm optimization, to achieve the classification of data
粒子群算法实现路径规划的问题比较实用的代码
- 粒子群算法实现路径规划的问题比较实用的代码而且已经运行成功非常珍贵的资料-Particle swarm algorithm of path planning problem is more practical code and have run very precious material success
PF_EKF
- 粒子滤波与EKF程序，改程序可对两种方法处理结果进行比较-Particle filter and the EKF procedure can change the program to compare the results of two methods
PF
- 利用粒子滤波算法的对于非线性非高斯信号处理的优越性能，将之用于模态信号、振动信号去噪处理。-The particle filter algorithm for nonlinear non-Gaussian signal processing, superior performance, it is used for mode signal, vibration signal denoising.
pf_robot_WIFI
- pf_robot_WIFIWiFi测量粒子滤波实现机器人定位-pf_robot_WIFI, localization of robut