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UNSteoriapriklady
- That is dicument talkin about network training function that updates weight and bias values according to particle swarm optimization.
FuzzySwarmBasedTextSummarization
- Swarm based text summarization, extraction sentence by using particle swarm optimization
particle_filter
- 一篇关于粒子滤波算法的硕士论文，对于学习粒子滤波很有帮助-A particle filter on the master s thesis, particle filter is helpful for learning
3-d-Hair-modeling-methods-research.
- 总结了近年来头发建模的主要方法，主要讲聚凑发束模型和和粒子模型-Summarizes the main methods in recent years, hair modeling, hair bundle scrape together the main speakers and the particle model and the model
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
01714200
- K-means Algorithm Based on Particle Swarm Optimization Algorithm for Anomaly Intrusion Detection
1
- During the last decade, many variants of the original particle swarm optimization (PSO) algorithm have been proposed. In many cases, the difference between two variants can be seen as an algorithmic component being present in one variant but
papersofparticla
- 关于粒子系统的相关文章，粒子系统对于模拟现实中的雨雪，爆炸场景等是及其逼真的。这里面关于这些粒子系统的基本概念及相关知识有教深入的研究。-Related articles on particle systems, particle system for the simulation of reality in the rain and snow, explosion scene is realistic. There is the basic concept and knowledge of t
Csharp
- c sharp particle swarm optimization
neural-network-for-PTV
- 一种新型神经网络方法对于粒子追踪测速。与于、普通的单个粒子分析，匹配的算法不同的是，该算法是基于小整体的众多粒子一起分析的。-A new type of neural network method for particle tracking velocimetry
hybrid-GAaPSO.pdf.tar
- Novel hybrid genetic algorithm & particle swarm opitimization
04470122.rar
- This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the obj
Hybrid_PSO_entropy-15-01247-v2
- A Hybrid Chaos-Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with TimeWindow
A-New-PSO
- 本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions con
COLLECT
- 详细介绍了碰撞检测的方法以及碰撞检测的量子粒子群算法-Details of the quantum particle collision detection and collision detection algorithm
particle-swarm-optimization
- 粒子群优化算法，外文的，学习粒子群算法的-PSO, a foreign language, learning PSO
(CLAPSO)
- A new method to improve the Particle Swarm Optimization using Cellular Learning Automata (CLAPSO)
A-Modified-Particle-Swarm-Technique-for-Distribut
- reconfiguration network
data
- Particle filters are often used for tracking objects within a scene. As the prediction model of a particle filter is often implemented using basic movement predictions such as ran- domwalk,constantvelocityoracceleration,thesemodelswill us
The-new-meta-heuristic-algorithm-bat
- 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声搜索算法已经成为现今复杂的优化问题的有效解决方法。该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法———蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。仿真结 果表明,蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。-Summary: The new meta-heuristic algor