搜索资源列表
matlabforpso
- matlab实现pso算法 大家看看把 看看能不能用 互相学习-Matlab achieve pso algorithm we can look at the decision to learn from each other can not be used
psozhouchenjiance
- pso在轴承质量检测中的应用，应用pso算法-pso Quality Inspection of the application, application pso Algorithm
PSO
- 基于粒子群优化算法（PSO）的类间方差估计（Otsu）
pso
- 基于粒子群算法的（pso）的otsu图像分割算法。
PSO
- pso算法，这个算法对初学者比较适合-pso For beginners are better adapted
POS-PID
- 运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现-The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve
PSO_AD
- 微粒群(PSO)优化算法进行图像匹配程序，MATLAB版。-Particle swarm optimization (PSO) algorithm for optimized image matching program, MATLAB version.
otsu
- 基于粒子群算法的（pso）的otsu图像分割算法,效果很好，不可多得哦-Based on particle swarm optimization (pso) of otsu image segmentation algorithm, the effect is very good, rare oh
registration
- 基于互信息的图像配准，使用pso和powell优化算法，GUI界面，proj.m-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces, proj.m
PSO_2D1
- 二维的粒子群算法仿真试验的matlab代码， 希望对大家有有帮助。-two-dimensional simulation PSO upload point of view we have a right to help.
PSO
- 采用粒子群算法和最大类间方差相结合进行图像分割。-Using particle swarm algorithm and Otsu image segmentation combining.
MATLAB
- pso 算法的matlab实现， pso 算法的matlab实现。-pso implemented with matlab，pso implemented with matlab，pso implemented with matlab。
DeNosingBaseOnXiaoBo
- 一种改进的基于PCNN神经网络和QPSO粒子行为的PSO的图像滤波算法，也可以较好地去除高斯噪声-Improved PCNN-based neural network and PSO behavior QPSO particle image filtering algorithm can also be better to remove Gaussian noise
pso
- 对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
Entropy-and-chaos-based-on-fuzz-Havrda_Charv_t-PSO
- 基于模糊Havrda_Charv_t熵与混沌PSO算法的红外人体图像分割-Entropy and chaos based on fuzzy Havrda_Charv_t PSO algorithm image segmentation of infrared body
PSO-image-segmentation-algorithm
- 为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
pso
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
PSO-cases
- matlab的粒子群算法工具箱，里面有PSO算法非常完善的工具-Particle swarm optimization toolbox of matlab with PSO algorithm is the perfect tool
pso
- 粒子群优化算法的MATLAB代码，代码源充分。(The particle swarm optimization algorithm MATLAB code, the source of the full code.)
PSO_kmeans-master
- 利用改进的PSO算法对kmeans算子进行聚类，优化了步骤(The improved PSO algorithm is used to cluster kmeans operators, and the steps are optimized)