搜索资源列表
PSO
- PSO(Particle Swarm Optimization 粒子群优化算法),是课程的一个小项目,实现了单机调度排序
particle+filter+source+program
- 用matlab进行粒子滤波算法的源码，希望对大家有帮助了。
PSO
- particle swarm optimitation using c,java and vb
pivmat
- The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2D vector fields from LaVision s DaVis PIV (particle image velocimetry) software
particle filter mcmc
- 针对无线传感器网络的节点的追踪算法matlab仿真。
upf_demos
- ％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UK
particle
- 粒子系统的一个原代码文件，很有用处。有需要的可以参考
ParticleEngine_src
- The concept of particle effects is very simple. Particle effects can be used to simulate fire, fireworks, water fountains, snow, rain, explosions and many other things. The effects are created by creating a definite number of particles. Depending on
32709
- opengl粒子模拟演示画面-opengl particle simulation images
Particle121
- 演示粒子系统的程序-particle system demonstration procedures
scatter3d_demo
- 一个三维粒子分散的程序-a 3D particle dispersion process
雨天模拟
- 粒子系统模拟的下雨效果-simulate the raining by particle system
hongqipiaopiao
- 基于粒子系统模拟飘扬的旗帜-particle system simulation based on the fluttering banner
explode
- 游戏物理学中粒子爆炸效果的模拟-game particle physics simulation of the effects of the explosions
OpenGL中粒子系统引擎的源代码
- OpenGL中构造粒子系统引擎的源代码-OpenGL engine particle system source code
自适应神经网络在确定落煤残存瓦斯量中的应用
- 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌
粒子群算法程序
- 粒子群算法程序集,应用于粒子优化处理!最新的算法.-PSO algorithm set, optimized for particle! The latest algorithm.
MyPSO
- //开发平台：Microsoft .NET Framework 2.0，Microsoft Visual C# 2005 Express //日期：2005.3.12 //作者：刘波 //粒子群优化算法(PSO)：本算法求目标函数的最小值-/ / development platforms : Microsoft.NET Framework 2.0, Microsoft Visual C# 2005 Express / / Date : 2005.3.12 / / Author : Liu Bo
vbpso
- 粒子群算法的vb源程序，可以自定义算法参数，实现对6个非约束性测试函数极小值的全局优化，动态显示粒子的移动。低维下，优化效果很好。直接解压，无须密码。请多指正。-PSO algorithm vb source, the algorithm can define parameters to achieve the six non-binding function tests minimum of global optimization, dynamic display particle movem
spso
- 保证全局收敛的随机微粒群算法。当最优粒子的解无进化，则对其位置、速度进行变异，而使算法不致过早收敛，只要迭代次数足够，算法保证全局收敛。-ensure global convergence of random particle swarm algorithm. When the optimal solution without particles of evolution, its location, speed variation, which might not premature conv