搜索资源列表
差别算法MATLAB代码及粒子群算法的介绍
- 差别算法matlab代码（differential algorithm）及粒子群算法的介绍-difference algorithm Matlab code (differential algorithm) and the PSO algorithm introduced
MPSO
- 多目标粒子群的matlab程序，文中设置了两个目标，f1和f2，采用加权求解的方式-more goals in Matlab PSO procedures, the text set up two goals, f1 and f2. using the weighted solution!
thebasicpso
- basic pso标准的pso matlab程序-basic standard procedures Matlab pso
ParticleSwarmOptimization(PSO)Primer
- 本文是关于粒子群算法(pso)的介绍和相关MATLAB源程序,是智能天线权值优化方面的一种很前沿的算法-paper on the PSO (pso) related to the introduction and MATLAB source. Smart Antenna is the right optimization of a very forefront of the algorithm
粒子群优化算法以及改进的PSO算法代码matlab
- 一些关于粒子群优化算法的matlab程序实现，里面有各种的PSO改进算法(Some matlab programs about particle swarm optimization algorithm are implemented. There are various PSO improved algorithms in them.)
aco-ga-pso-tsp
- Matlab实现ACO-GA-PSO三种混合算法解决TSP经典问题(Three Mixed Algorithms ACO-GA-PSO Realized by MATLAB to Solve the Classic TSP Problem)
PSO-BP(MATLAB)
- 利用PSO蚁群算法改进的BP神经网络，收敛性很好！很实用(The BP neural network improved by PSO ant colony algorithm has good convergence. Very practical)
粒子群算法matlab代码
- 粒子群算法简介，PSO，matlab，程序(Particle swarm optimization, PSO, matlab, program)
pso
- matlab的粒子群pso工具箱打开后直接调用函数PSOJ即可(he PSO toolbox of MATLAB opens and calls the function PSOJ directly.)
PSO ANN
- this is using PSO to train ANN
01 Economic Dispatching using PSO
- 基于粒子群算法(PSO)的电力系统经济调度，matlab平台。(solve power system economic dispatch problem by PSO algorithm)
PSO-BP程序
- 用粒子群优化BP神经网络matlab代码 %以下是训练数据，前4列为输入，第5列为输出 5.700 3.800 0.3175 2.33 2310 4.550 3.050 0.3175 2.33 2890 2.950 1.950 0.3175 2.33 4240 1.950 1.300 0.3175 2.33 5840 1.400 0.900 0.3175 2.33 7700 1.200 0.800 0.3175 2.33 8270 1.050 0.700 0.3175
PSOt工具箱
- MATLAB的PSO工具箱，安装工具箱后，可以直接使用相关接口实现PSO(The PSO toolbox of Matlab can be directly implemented with relevant interfaces after the toolbox is installed)
anfis-elm-pso-master
- matlab。优化PSOELM算法源码，粒子群优化算法极限学习机(The matlab. Optimal PSOELM algorithm source code, the particle swarm optimization algorithm is extreme learning machine)
PSO-SVM
- 利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can
pso-SVM
- pso优化SVM参数，可运行。MATLAB实现(PSO optimizes SVM parameters, which can be run. MATLAB implementation)
PSO粒子群5种改进算法实例源码
- 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
粒子群算法优化pid源码 matlab仿真
- 粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)
matlab仿真PID参数整定 源代码+仿真图
- 用MATLAB仿真PID控制，其中用simulink建仿真模型，用matlab语言编写PSO算法用于优化PID参数整定。(Matlab is used to simulate PID control, in which Simulink is used to build simulation model, and PSO algorithm is written in MATLAB language to optimize PID parameter setting.)
GA-BP及PSO-BP
- 主要是通过GA和PSO的全局搜索能力，用于改进BP网络的权值阈值(It is mainly used to improve the weight threshold of BP network)