搜索资源列表
show_pso
- pso 粒子群优化算法演示程序，实现图形化界面。-PSO PSO algorithm demonstration program to achieve graphical interface.
PSO_VQ
- 采用粒子群矢量量化算法生成图像矢量量化的最优码书，可以任意设定种群数与迭代代数。程序结果产生最优码书与平均误差。
qpso-svm
- 本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性
PSO_2D2
- 二维新的粒子群算法matlab程序，希望对大家有有帮助。-The new two-dimensional particle swarm optimization matlab program, and they hope to help everyone.
liziqun
- 粒子群优化算法(的源程序，优化值，对图像分割有很大的帮助。-Particle swarm optimization (PSO) of the source.
ISPSO
- 是基于粒子群优化算法的图像分割[Otsu]参考程序。内含相关原理以及程序测试记录。-The reference procedure is based on particle swarm optimization algorithm for image segmentation. Containing the record of the relevant principles and procedures for testing.
pso_Trelea_vectorized
- 一段PSO的C++程序，用于实现粒子群优化算法。-Period of PSO C++ program for particle swarm optimization.
particle-swarm-optimization
- 一个基本的粒子群算法，可以对初学者有帮助哦，一共有三个程序，这里分开上传的-A basic particle swarm algorithm, for beginners to help, oh, a total of three programs, here separate upload
xijunmishi-PSO
- 细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。-Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.
colorSegmentation
- 基于极大熵准则，通过改进型粒子群算法对图像进行多阈值分割，并与其他分割算法对比。 函数说明： main函数为主程序，无返回值和参数，可直接运行。运行结果将调用colorSegmentation()函数和PSO()函数-Based on maximum entropy criterion, through improved particle swarm optimization (pso) algorithm for image threshold segmentation, and c
weightpso
- 关于粒子群的改进算法 基于改变权重的matlab程序 可供大家学习矫正-About PSO algorithm based matlab program to change the weights corrected for them to learn
matlab-algorithm
- 优化算法中的粒子群算法详解和Matlab程序代码-Optimization algorithm and particle swarm Detailed Matlab code
29488308
- pso粒子群优化算法程序 加了实现模糊功能的新算法,-Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,
824879
- 粒子群算法(pso)标准测试函数验证程序,在一个m文件中包括了目前文献-Particle swarm optimization (pso) validation procedures, standard test functions in a m documents including the current literature
liziqun
- 使用粒子群算法优化了最大值搜索，程序可直接使用。(Use a particle swarm algorithm to optimize searching a maximum value of a image.)