搜索资源列表
PSOtoolbox.rar
- 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
FNN_PSO
- This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
Anfis
- Fuzzy control Design using ANFIS for a power system with svc
fuzzy_pack
- basic pso code combined with fuzzy
Fuzzy_DPSO_pdf
- pso with Fuzzy document
Type-1FLSs
- matlab mfile for fuzzy type-1 flc
2009032614571153815
- 模糊粒子群的MATLAB实现，我们知到粒子群是一种智能方法-MATLAB fuzzy particle swarm to achieve, we know that PSO is an intelligent way
FNN
- 模糊神经网络matlib实现，希望对大家有用！-Fuzzy neural network matlib realize the hope for all of us!
PSOFuzzyModeler
- Fuzzy PSO算法仿真源代码,实现模糊蚁群优化算法的仿真。-Fuzzy PSO algorithm
zonghe
- 模糊pso控制器优化函数的文章，很不错的，很有参考价值，是英文版的可以作为参考资料。-Fuzzy controller optimization function pso article, very good, good reference is the English version can be used as reference.
FuzzyPSO
- 基于模糊规则的pso算法，用MATLAB编写的,绝对可用-Pso algorithm based on fuzzy rules, written using MATLAB, absolutely free
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-Fuzzy-Modeler-for-MATLAB
- 详细给定了模糊PSO模型算法，可以用于matlab工具箱-PSO Fuzzy Modeler for MATLAB
UPQCSignaDetectionAlgorithm
- upqc pso fuzzy:UPQCSignaDetectionAlgorithm
pso
- PSO算法简单、易实现且参数较少，现已被应用于函数优化、神经网络训练、模糊系统控制以及其它遗传算法的应用领域-PSO algorithm is simple, easy to implement and less parameters, have been applied to function optimization, neural network training, fuzzy system control and other applications of genetic algorit
PSO-Fuzzy-Modeler-Mamdani-for-charger
- PSO Fuzzy Modeler (Mamdani) for charger
2017--Fuzzy-PSO controller design for PV
- 2017 Fuzzy-PSO controller design for maximum power point tracking in photovoltaic system
PSO
- 粒子群优化算法(PSO：Particle swarm optimization) 是一种进化计算技术（evolutionary computation）。 源于对鸟群捕食的行为研究。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解． PSO的优势：在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。(The particle swarm optimization (PSO:Part
Balanced fuzzy particle swarm optimization
- matlab code for tsp using pso
PSO_FUZZY_electricalmatlab
- PSO FUZZY electricalmatlab