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【matlab】 pso_qzn DL : 0: 自己写的关于粒子群算法求函数最小值的例程，简单易懂，对理解算法有很大帮助-Wrote it myself on the Particle Swarm Optimization for the minimum function of the routine, easy-to-read, to understand the algorithm are very helpful
Update : 2024-05-14 Size : 1024 Publisher : 王维
【Game Engine】 ParticleAccelerator1.0 DL : 0: ogre粒子编辑器,很酷.非常容易上手,效果很精彩-ogre particle editor, cool. very easy to use, the effect is very exciting
Update : 2024-05-14 Size : 3943424 Publisher : 风为
【GDI-Bitmap】 tracking DL : 0: particle filter for tracking visual target using Matlab ,enjoy it!
Update : 2024-05-14 Size : 6144 Publisher : kitty
【File Format】 TheApplicationResearchofImprovedParticleFilterAlgo DL : 0: 本文的题目是改进的粒子滤波在组合导航中的应用研究。文档可用caj打开。本课题首先研究了GPS/DR车载定位系统的组合模型，然后在分析了非线性滤波的基础上，引入了粒子滤波。粒子滤波是一种基于递推计算的序列蒙特卡罗算法，它采用一组从概率密度函数上随机抽取的并附带相关权值的粒子集来逼近后验概率密度，从而不受非线性、非高斯问题的限制。虽然粒子滤波存在诸多优点，然而它仍然存在诸如粒子数匿乏、滤波性能不高、实时性差等问题。-The title of this article is to improve the particle filter in the navigation of the applied research. CAJ can be used to open the document. This issue initially on the GPS/DR Vehicle Location System portfolio model, and then the analysis of nonlinear filtering based on the introduction of a particle filter. Particle filter is a recursive calculation based on Sequential Monte Carlo algorithm, it uses a set of probability density function from random samples and weights attached to the relevant set of particles to approximate a posteriori probability density, and thus not subject to non-linear, the issue of non-Gaussian constraints. Although there are many advantages of particle filter, yet it still exists, such as particle number Punic poor, filter performance is not high, real-time poor.
Update : 2024-05-14 Size : 5165056 Publisher : 阳关
【matlab】 upfcode DL : 0: 无忌卡尔曼粒子滤波，希望对大家有帮助。代码是用matlab实现的-Kalman particle filter out loudly, and they hope to help everyone. Matlab code is used to achieve the
Update : 2024-05-14 Size : 15360 Publisher :
【Special Effects】 bear-only-tracking3 DL : 0: 方向检测的粒子滤波程序，内含重采样算法。-The direction of the particle filter detection procedures, including re-sampling algorithm.
Update : 2024-05-14 Size : 34816 Publisher : 赵娜
【OpenGL program】 Particles DL : 0: 模拟真实焰火效果,粒子流,粒子流速度,生命等,Windows开发环境,采用OpenGL-Simulate the real fireworks effects, particle flow, particle flow speed, life, etc., Windows development environment, the use of OpenGL
Update : 2024-05-14 Size : 1814528 Publisher : 郭清文
【AI-NN-PR】 pso-souceCode-C++Version DL : 0: 一个粒子群优化(PSO)算法的C++版本的源代码。-A particle swarm optimization (PSO) algorithm C++ Version of the source code.
Update : 2024-05-14 Size : 2048 Publisher : KTGG
【Other】 PSOandDE DL : 0: 基于粒子群和微分进化的优化算法研究,是一篇优秀的博士论文，希望能对大家有用-Based on particle swarm optimization and differential evolution algorithm, is an excellent doctoral thesis, hoping to be useful for all of us
Update : 2024-05-14 Size : 1819648 Publisher : chenjy
【OpenGL program】 FIRE DL : 0: OpenGL模拟火焰，采用的粒子系统来进行实现，希望对大家有所帮助-OpenGL simulation of the flame, using a particle system to carry out to achieve, I hope all of you to help
Update : 2024-05-14 Size : 56320 Publisher : CiCi
【Documents】 2004_5340 DL : 0: Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter 介绍了一种基于四元数粒子滤波的方法-Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter presents a quaternion-based particle filter method
Update : 2024-05-14 Size : 1035264 Publisher : yueyang
【Software Engineering】 SAfilteringmethod DL : 0: 卫星姿态确定及敏感器误差修正的滤波算法研究。介绍了几种不同的滤波算法，如卡尔曼滤波，扩展卡尔曼滤波，粒子滤波等在姿态确定上的应用，并比较了它们仿真的结果-Satellite attitude determination and sensor error correction filtering algorithms. Introduced several different filtering algorithms, such as Kalman filtering, extended Kalman filter, particle filter, such as in the attitude determination applications, and compare their simulation results
Update : 2024-05-14 Size : 6289408 Publisher : yueyang
【Documents】 2004_5337 DL : 0: Particle Filtering for Sequential Spacecraft Attitude Estimation 卫星姿态估计的另外一种粒子滤波的介绍-Particle Filtering for Sequential Spacecraft Attitude Estimation for Satellite Attitude estimated another particle filter introduction
Update : 2024-05-14 Size : 1200128 Publisher : yueyang
【Special Effects】 condesation DL : 0: 基于OPENCV的Condensation目标跟踪算法，可任意设置HSV颜色阈值和粒子滤波数量，通过该算法掌握Condensation以及经典粒子滤波算法的精髓。-Condensation of OPENCV based target tracking algorithm, can be arbitrarily set HSV color threshold and the number of particle filter, through the Condensation algorithm to master the classical particle filter, as well as the essence.
Update : 2024-05-14 Size : 676864 Publisher : 马丁
【Special Effects】 particle_tracking_v1_0 DL : 0: 跟踪单个粒子的particle算法，由matlab实现，内含详细的说明文档。-Particle tracking algorithm for a single particle from matlab to achieve, including a detailed description of the document.
Update : 2024-05-14 Size : 177152 Publisher : 马丁
【OpenGL program】 1 DL : 0: OpenGL喷泉效果，C++实现。用粒子系统实现喷泉。-OpenGL fountain effect, C++ Achieve. Fountain with particle systems.
Update : 2024-05-14 Size : 2197504 Publisher : 邬文彦
【Game Engine】 2DParticle DL : 0: 一个简单的2D粒子系统，应用VC7.1 和DX 编写，供大家学习-A simple 2D particle system, application VC7.1 and DX prepared for them to learn
Update : 2024-05-14 Size : 91136 Publisher : sr
【matlab】 twophase DL : 0: 基于流函数法求解流体颗粒二相绕流问题的源码-Stream function method based on particle two-phase fluid flow around the issue of source
Update : 2024-05-14 Size : 1024 Publisher : 徐晓亮
【OpenGL program】 particle DL : 0: 用点精灵实现的粒子系统，应用VC7.1 和 GL 实现-Point the wizard to use to achieve particle systems, applications to achieve VC7.1 and GL
Update : 2024-05-14 Size : 2749440 Publisher : sr
【AI-NN-PR】 pso_Methods_for_Pattern_Recognition_and_Image_Proc DL : 0: A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively.-A dissipative particle swarm optimization isdeveloped according to the self-organization of dissipativestructure. The negative entropy is introduced to construct anopening dissipative system that is far-from-equilibrium so as todriving the irreversible evolution process with better fitness.The testing of two multimodal functions indicates it improvesthe performance effectively.structure. The negative entropy is introduced to construct anopening dissipative system that is far-from-equilibrium so as todriving the irreversible evolution process with better fitness.The testing of two multimodal functions indicates it improvesthe performance effectively.
Update : 2024-05-14 Size : 5950464 Publisher : sky

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