搜索资源列表
vrptm.rar
- 带时间窗的车辆路径问题的粒子群算法，用c++编写的程序来实现。,With time windows of the vehicle routing problem of particle swarm optimization, using c++ Preparation procedures to achieve.
rbmcda_1_0
- 基于RBMCDA (Rao-Blackwellized Monte Carlo Data Association)方法的多目标追踪程序-RBMCDA Toolbox is software package for Matlab consisting of multiple target tracking methods based on Rao-Blackwellized particle filters. The purpose of the toolbox is provide a test
three-particle-algorithms
- BPF算法（回溯粒子滤波），还包括判断粒子是否有效的子函数，以及其中用到的判断两条直线是否相交的函数（用来判断轨迹是否与墙壁相交）。- three particle filter algorithms(SIR,ASIR and BPF) for indoor pedestrian navigation.Also include a function for particle validation detection and a function to check if two lines i
pf_samples
- 粒子滤波典型程序，包括多种重采样方法，可用于导航制导、目标跟踪和图像处理。-Particle filter typical procedure, including resampling method can be used for navigation guidance, target tracking and image processing.
PSO_demo
- 粒子群算法求解TSP问题,VC++运行平台-particle swarm optimization for TSP
Sound_Field_Plot
- 可视化的声场以上的本地反应阻抗平面。 ：你可以进行选择 - 声压相对于距离为1的自由场声压在分贝再1。 - 声压的相位。在学位。 - 过量衰减：总声压，只能用直接的声压分。以dB为单位重1。正值表示衰减（声压比在自由场低级） - 现场阻抗（相对于空气的特性阻抗）。 - 垂直（表面法）粒子速度。以dB为单位重新1。 - Horizotal（表面平行）粒子速度。以dB为单位重新1。 - 垂直（z）的比率h
wenjian
- 基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。-Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to
PSO
- 粒子群算法，PSO，附有详细的注释，适合初学者。-Particle swarm optimization, PSO, with detailed notes, suitable for beginners.
pso
- 标准粒子群算法的matlab实现，并通过均匀设计进行初始化-Standard particle swarm algorithm matlab implementation, and initialize uniform design
CLSPSO
- 混沌粒子群算法是混沌优化和粒子群优化两者的结合。对于给定的优化函数，通过将搜索过程对应为混沌轨道的遍历过程，可使搜索过程具有避免陷入局部极小的能力。-Chaos particle swarm optimization (pso) algorithm is a combination of both the chaos optimization and particle swarm optimization.For a given optimization function, through th
PSO
- 用粒子群算法解决np-hard问题，可以得到满意解。-Using the particle swarm optimization algorithm to solve the NP-hard problem, we can get the satisfactory solution.
PF
- 线性二自由度车辆模型状态参数估计粒子滤波算法，车辆理想状态向量已和观测向量已给出-Linear two degrees of freedom vehicle model state estimation particle filter, vehicle and observation over the state vector has been given vector