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.
psoOptions
- pso粒子群优化算法参数设置,是工具箱中结合部分的核心。-PSO PSO algorithm parameter settings, Toolbox is part of the integration of the core.
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
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
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.
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
Particle-swarm-optimization
- 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运 动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它 的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起 了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领 域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是 理论分析还是实践应用都尚未成熟,有大量的问题值得研究。 -
pso1
- 某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒 群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法 的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几 个运算实例和与其它优化算法的比较.-Some of the practical problems the optimizati
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-matching
- 粒子群算法实现图像匹配,用目标图像作为搜索域,与模板图像进行匹配。-PSO algorithm for image matching, with the target image as a search domain, and the template image to match.
Bat-algorithm-source-code
- 蝙蝠算法是最近新提出来的,是一种搜索全局最优解的有效方法,这个是其源代码,在适当的条件下,可以看作是和声算法和粒子群算法的结合-Bat algorithm source code, the latest in a search element global optimal solution proposed in 2010, can be seen as a combination of harmony and PSO algorithm
pso-algorithm
- 粒子群(PSO)算法,最优参数寻优,本例程中实现高斯函数最大值的求取。-Particle swarm (PSO) algorithm, the optimal parameters optimization, implementation in the routine gaussian function to calculate the maximum.
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_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)
