Search - particle

Search - particle - List

【Windows Develop】 pso530 DL : 0: 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． -Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
Update : 2024-04-29 Size : 134144 Publisher : 周荷
【Program doc】 nonlinearfilter DL : 0: 工学博士学位论文目前，扩展卡尔曼滤波是研究初始对准和惯性/GPS组合导航问题的一个主要手段。但初始对准和惯性/GPS组合导航问题本质上是非线性的，对模型进行线性化的扩展卡尔曼滤波在一定程度上影响了系统的性能。近年来，直接使用非线性模型的 UKF(Unscented Kalman Filtering, UKF)和粒子滤波，正在逐渐成为研究非线性估计问题的热点和有效方法。本文研究了UKF和粒子滤波两种非线性滤波方法，并将其应用于非线性静基座对准和惯性/GPS组合导航，系统地研究了初始对准和惯性/GPS组合导航中各种非线性项-Engineering PhD thesis Currently, EKF is the initial alignment study and inertial/GPS navigation of a major means. However, initial alignment and inertial/GPS navigation on the nature of the problem is nonlinear. on the model of linear expansion of the Kalman filter certain extent affected the performance of the system. In recent years, direct use of the non-linear model (UKF Unscented Kalman Filtering. UKF) and the particle filter, is gradually becoming nonlinear estimation of the hot and effective method. This paper studies the UKF and particle filter both nonlinear filtering method, will be applied to nonlinear static Base Alignment and inertial/GPS navigation, systematic study of initial alignment and inertial/GPS navigation various nonlinear term
Update : 2024-04-29 Size : 5069824 Publisher : daniel
【Algorithm】 bf-C++sourc DL : 1: Bayesian Filter.贝叶斯（Bayesian）滤波器的C++类库。包括卡尔曼滤波（kalman filter）、粒子滤波(particle filter)等。-Bayesian Filter. Bayesian (Bayesian) filters C Class. Including Kalman filter (Kalman filter). particle filter (particle filter).
Update : 2024-04-29 Size : 126976 Publisher : 陈晨
【Mathimatics-Numerical algorithms】 psopt DL : 0: A program to demonstrate the optimization process of particle swarm optimization. A two-dimensional objective function is visualized by level of grey: the lighter the color, the higher the function value. The particles are shown as red circles, their trajectory as red lines.-A program to demonstrate the optimization process of particle swarm optimization. A two- dimensional objective function is visualized by level of gray : the lighter the color, the higher the value function. The particles ar e shown as red circles. their trajectory as red lines.
Update : 2024-04-29 Size : 12288 Publisher : 无心
【2D Graphic】 liziParticleedifect DL : 0: 呵呵，自己下载后打开看看，粒子效果真的不错，是本人以前收集的！-Oh, they look at the downloaded and opened, the particle effects really Yes, I used to collect!
Update : 2024-04-29 Size : 175104 Publisher : zhangjun
【Other】 PF_Code DL : 0: 自己编写的粒子滤波的源码,用于故障诊断,是MATLAB语言写的,-their preparation of the particle filter source for fault diagnosis, is written in MATLAB.
Update : 2024-04-29 Size : 74752 Publisher : zql
【matlab】 HybridParticleSwarmOptimization DL : 0: A hybrid Particle Swarm Optimization algorithm for functions in the real space. -Particle Swarm Optimization algo rithm for functions in the real space.
Update : 2024-04-29 Size : 4096 Publisher :
【AI-NN-PR】 SequentialSamplingImportanceResampling(SIR) DL : 0: this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.
Update : 2024-04-29 Size : 6144 Publisher : 大辉
【AI-NN-PR】 RaoBlackwellisedParticleFilteringforDynamicConditi DL : 0: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.
Update : 2024-04-29 Size : 130048 Publisher : 大辉
【Other】 NN-PSO DL : 0: 粒子群优化算法（PSO）应用于神经网络优化程序-Particle Swarm Optimization (PSO) algorithm used neural network optimization procedures
Update : 2024-04-29 Size : 21504 Publisher : chenqh
【Special Effects】 video_tracker DL : 0: 国外著名大学编写的利用粒子滤波器的目标跟踪算法（particle fitler visual tracking）-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)
Update : 2024-04-29 Size : 4510720 Publisher : 言研
【matlab】 particlefilter DL : 0: 非常不错的非线性非高斯环境下的粒子滤波程序-very good nonlinear non-Gaussian environment under the particle filter process
Update : 2024-04-29 Size : 8192 Publisher : 侯睿
【matlab】 SequentialTracking DL : 0: 非常好的粒子滤波程序:扩展卡尔曼模型下的序列追踪-very good particle filter : Extended Kalman model tracing the sequence
Update : 2024-04-29 Size : 18432 Publisher : 侯睿
【matlab】 weighestimationofMLP DL : 0: 很好的粒子滤波程序之MLP（multiple layer perception）权值估计-good particle filter procedures MLP (multiple layer perceptio n) the estimated weight
Update : 2024-04-29 Size : 4096 Publisher : 侯睿
【Graph Recognize】 matlab_ukf_utilities DL : 0: utilities for Kalman filtering, unscented filtering, particle filtering, and miscillaneous other things. This code is stable and fast. -utilities for Kalman filtering, unscented filtering, particle filtering, miscillaneous and other things. This code is st able and fast.
Update : 2024-04-29 Size : 36864 Publisher : sunxiaodian
【Mathimatics-Numerical algorithms】 stdpf1 DL : 0: 标准的粒子滤波器matlab程序，附有详细注释，可以帮助有效掌握粒子滤波算法。希望大家多提建议：）-standard particle filter Matlab procedures, with detailed notes, can help grasp the particle filter. We hope more suggestions :)
Update : 2024-04-29 Size : 1024 Publisher : yjj
【source in ebook】 ParticleFun DL : 0: 实战粒子系统例程，一书的源代码，里面有一个JPEG Library的使用方法，很不错的。-real particle system routines, a book of source code, There are a JPEG Library of use, very good.
Update : 2024-04-29 Size : 350208 Publisher :
【Software Engineering】 aaab DL : 0: 粒子滤波算法讲述粒子滤波过程。基于Mean Shift算法和粒子滤波器的人眼跟踪,多谢支持。-particle filter on particle filtering process. Based on the Mean Shift Algorithm and the particle filter eye tracking, Thank you for your support.
Update : 2024-04-29 Size : 166912 Publisher : wu78zg
【matlab】 pfdemo DL : 0: 程序为粒子滤波器跟踪算法的演示程序，粒子滤波器算法适用于非线性非高斯情况下的跟踪估计。本程序为pf专家程序，演示pf跟踪的核心思想，与大家共享。-procedures for tracking particle filter algorithm Demonstration Program, particle filter algorithm applicable to the non-linear Gaussian case tracking estimates. The procedures for pf experts procedures, presentations pf tracking core ideas and share.
Update : 2024-04-29 Size : 1024 Publisher : 李海燕
【Mathimatics-Numerical algorithms】 PSO_improved DL : 0: 粒子群优化（PSO）算法研究进展综述，本人简要的从八个方面归纳了PSO的研究情况，涉及60余篇文献（主要是IEEE文献），对大多文献进行了简要评价。从文献资料显示，此方面较为系统的归纳尚未见报导，而国内相关成果亦较少。希望通过与大家的共享，以互相交流、共同进步-Particle Swarm Optimization (PSO) algorithm Progress Review, I briefly summarized from eight aspects of the PSO. involving more than 60 papers published (mainly IEEE documents), most of the literature on the summary evaluation. Information from the literature in this area is summarized in the system has not been reported, and there is less relevant results. We hope that through the sharing, exchange, and common progress.
Update : 2024-04-29 Size : 218112 Publisher : jiangsx

« 1 2 3 4 5 67 8 9 10 11 ... 50 »