搜索资源列表
peizhun
- 图像配准－GUI界面，最优化算法，互信息尺度，POWELL.m附属子程序，PSO.m附属子程序，对图像进行“平移”和“旋转”-Image Registration - GUI interface, optimization algorithms, mutual information scale, POWELL.m subsidiary subroutine, PSO.m subsidiary subroutine, the right image "translation"
pso-svm
- 一个PSO优化SVM参数的MATLAB程序及其举例。不过此程序必须在安装SVM工具箱的前提下才可运行。-A PSO optimized SVM parameters and their example MATLAB program. But this process must be installed under the premise of SVM toolbox in order to run.
PSO
- 粒子群标准算法，共六个m文件，对于粒子群算法的初学者有用。-The standard particle swarm algorithm
pso.code
- 主函数的源程序，优化函数则以m文件的形式放在fitness.m里面，对不同的优化函数只要修改fitness.m就可以了通用性很强。-pso code
pso
- Unzip and copy the files to a folder (directory). -Add the path to Matlab. (File>Set Path>Add with Subfolders) -Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
pso
- 程序说明： jblzq.m为基本粒子群程序求函数的最大值 lzq2.m是惯性权重法求函数的最大值 lzq3.m是惯性权重法求函数最小值。当然也可以用lzq2.m实现，在函数前加个负号 lzq4.m是收敛因子法求函数最小值 lzq5.m是带变异的惯性权重法求最大值，变异条件比较简单，变异次数多。还有一种变异是利用各粒的最优位置与全局最优位置的差的平方和，再开根号的值小于某一值最为收敛条件，将在我的报告中叙述 lzq6.m是分层粒子群优化算法，即利用两个粒子群同时进行搜索，一
pso
- pso(粒子群算法）优化神经网络 MATLAB的m 文件
pso
- pso algorithme NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY. 1. Installation: -Unzip and copy the files to a folder (directory). -Add the path to Matlab. (File>Set Path>Add with Subfolders) -Read help for get_psoOptions.m an
PSO
- PSO对函数进行优化，pso.m为主函数程序,fitness.m为适应度函数， 程序以通过调试。-PSO function to optimize the program through the debugger
pso
- 粒子群算法的matlab实现，包含主文件pso.m和例子程序psodemo.m,psodemo2.m,Griewank.m, DrawGriewank.m等。每个文件都有详细的注释。-Particle swarm algorithm matlab realize, contains the master file pso.m and examples of procedures, each file has detailed notes.
pso优化算法
- 很好的粒子群算法 很好的粒子群算法 很好的粒子群算法 matlab环境M文件
pso
- PSO.m : particle swarm optimization algorithm
PSO-BP
- 利用粒子群算法（PSO）来优化BP神经网络的权值和阈值，可运行，fun.m是用来计算适应度（误差）值的，在PSO.m中点击运行即可。-Using particle swarm optimization (PSO) to optimize the BP neural network weights and threshold, can run, fun.m is used to calculate the fitness value (error)
PSO
- pso ，粒子群算法的matlab实现，包含fitness.m和pso.m(Particle swarm optimization)
pso
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foragi
PSO-Griewankan
- It is all PSO m files to solve the function Griewankan, which you can also change the fun to solve other problems.
pso
- 一种基于粒子群算法的解决遍历多城市最短路径的算法，基于matlab开发平台，使用m语言编程的(For solving the minimum distance about traveling around multi-cities, we developed this algorithm based on PSO. Using m language and programming on matlab platform.)
pso
- 实现光伏发电系统中MPPT功能，实现PSO算法的m文件(Realize the MPPT function in the photovoltaic power generation system and realize the m file of PSO algorithm.)
PSO_pathplanning
- 以PSO与三次样条插值结合的移动机器人路径规划算法，主函数为pso.m(Mobile robot path planning algorithm combining PSO and cubic spline interpolation, the main function is pso.m)
scmt.m
- 用PSO-BPNN算法对时间序列数据进行拟合并预测未来一段时间数据(Using pso-bpnn algorithm to predict the future time series data)