搜索资源列表
BINARYPSO
- binary pso for particle swarm optimisation
Discrete_PSO_TSP
- discret particle optimisation pso
particlelines
- particle lines project having a bit errors which u can find out
ekfslam_web_v2.0
- 虽然粒子滤波算法可以作为解决SLAM问题有效手段，但是该算法仍然存在着一些问题其中最主要的问题是需要用大量的样本数量能很好地近似系统的后验概率密度。-Although the particle filter can be used as an effective means to solve the SLAM problem, but the algorithm still exist some problems in which the most important issue is the
ASRV1.19
- 虽然粒子滤波算法可以作为解决SLAM问题的有效手段，但是该算法仍然存在着一些问题。其中最主要的问题是需要用大量的样本数量才能很好地近似系统的后验概率密度。-Although the particle filter to solve the SLAM problem can be an effective means, but the algorithm still exist some problems. One of the most important issue is the need f
123
- 虽然粒子滤波算法可以作为解决SLAM问题的有效手段，但是该算法仍然存在着一些问题。其中最主要的问题是需要用大量的样本数量才能很好地近似系统的后验概率密度。-Although the particle filter to solve the SLAM problem can be an effective means, but the algorithm still exist some problems. One of the most important issue is the need f
456
- 虽然粒子滤波算法可以作为解决SLAM问题的有效手段，但是该算法仍然存在着一些问题。其中最主要的问题是需要用大量的样本数量才能很好地近似系统的后验概率密度。-Although the particle filter to solve the SLAM problem can be an effective means, but the algorithm still exist some problems. One of the most important issue is the need f
Clerc_seminar_15122004
- A mini tutorial about Particle swarm optimization
DSD
- 数学形态学(Mathematical Morphology)诞生于1964年，是由法国巴黎矿业学院博士生赛拉(J. Serra)和导师马瑟荣，在从事铁矿核的定量岩石学分析及预测其开采价值的研究中提出“击中/击不中变换”， 并在理论层面上第一次引入了形态学的表达式，建立了颗粒分析方法。他们的工作奠定了这门学科的理论基础， 如击中/击不中变换、开闭运算、布尔模型及纹理分析器的原型等。数学形态学的基本思想是用具有一定形态的结构元素去量度和提取图像中的对应形状以达到对图像分析和识别的目的。-Mathem
Clerc_seminar_15122004
- Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The PSO is a population based search algorithm based on the simulation of
Particlefilter_code
- 粒子滤波源码，可以用于运动目标跟踪，具有很好的参考意义。-Source particle filter, can be used for moving target tracking, with a very good reference value.
GoodsAllocatingProblemwithMultiAimsbasedonTheHybri
- 多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard p
AParticle_Swarm_Optimization_(PSO)_Primer
- one of the most optimization techniques known is the particle swarm optimization tech
gamin
- 采用粒子群算法的参数辨识，计算速度更快，参数更准确。-Using particle swarm optimization algorithm parameter identification, computing faster, more accurate parameters.
yli-head-fg06
- "Robust Head Tracking BasedonaMulti-StateParticle Filter" This is a paper about tracking by particle filter. This is very useful.
OFDMandPSO
- Minimum Bit Error Rate Multiuser Detection for OFDM-SDMA Using Particle Swarm Optimization Habib ur Rehman1, Imran Zaka1, Muhammad Naeem2, Syed Ismail Shah3 , and Jamil Ahmad3
fulltext
- Medical Diagnosis Using Adaptive Perceptive Particle Swarm Optimization and Its Hardware Realization using Field Programmable Gate Array
UNSteoriapriklady
- That is dicument talkin about network training function that updates weight and bias values according to particle swarm optimization.
RealTimeFaceTrackingUsingPFMEANSHIFT
- 基于粒子滤波方法实现的实时人脸目标跟踪,程序步骤清楚，方法详细。-Based on particle filtering method to achieve real-time human face tracking
Particle-Swarm-Optimization-C
- PSO同遗传算法类似，是一种基于迭代的优化算法-PSO is similar with the genetic algorithm is an iterative optimization algorithm based on