搜索资源列表
particle
- 利用VC++编写的一个粒子系统,各种小键盘控制粒子的运行方式,各种外观。-Written in VC++ using a particle system, a variety of small particles keyboard operation mode, a variety of appearance.
TemplateFun
- :(1) Ddscat计算消光谱。 (2) Ddfield计算电场分布,需要的参数有网格。 (3) Calltarget生成粒子形状。 -: (1) Ddscat calculate the extinction spectrum. (2) Ddfield calculate the electric field distribution, the required parameters grid. (3) Calltarget generate the particle shape.
APIT_CS-2003-06
- 传统的近似三角形内点测试( APIT),即近似三角形内点测试定位算法,广泛应用于静态节点定位.结合粒子滤波提出改进算法,将APIT算法推广到节点动态定位.-Traditional approximate point inside the triangle test (APIT), namely the approximate point within the triangle test positioning algorithm, widely used in the static node l
NSGA-II
- 针对现有改进和声搜索算法(IHS) 的不足,提出一种自适应和声粒子群搜索算法(AHSPSO).-For the purpose of avoiding the disadvantage of improved harmony search (IHS) algorithm, an adaptive harmony search-particle swarm optimization (AHSPSO) algorithm is presented.
fcmsvm
- fcm-svm模型,用来处理连续型数据的拟合预测建模,想用SOM算法将连续性数据离散化,paosvm为改进的粒子群优化SVM参数的算法。数据可根据自己的进行替换-fcm-svm model fit to handle continuous data, predictive modeling, would like to use SOM algorithm continuity discrete data, paosvm of improved particle swarm optimizatio
Quantum-Inspired-BPSO
- 此為應用MATHCAD來編寫BPSO,為粒子群優演算法,可應用於求解最佳化過程,可跑小系統之模擬,簡單又好用-This is the application to write MATHCAD BPSO, particle swarm optimization algorithm can be applied to solve the optimization process, the simulation can run a small system, simple and easy to us
beibaoPSO
- 粒子群算法用于背包问题情况 典型组合优化问题-Particle swarm optimization for the case of the more popular knapsack problem
OPSearchingmice
- 基于小老鼠找奶酪的程序 C++ 应用粒子群算法-Based on the little mouse to find the program of the cheese, using particle swarm algorithm c++
dsmensionsl_confirm
- 第三个例子滤波应用程序,可以了解粒子滤波的工作原理 不错的-A third example filtering applications, can understand the working principle of particle filter is good
8865355
- PSO (Particle swarm optimization algorithm, Particle swarm optimization With linkage operato
terfojm__equivalence
- The program for a new algorithm based on particle filter, comprehensive MCMC Bayesian