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Description: pso粒子群优化算法程序 加了实现模糊功能的新算法。-PSO PSO algorithm processes the realization of the new and fuzzy algorithm.
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Author: jun |
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Description: 粒子群优化算法！！！
系统地介绍了粒子群优化算法,归纳了其发展过程中的各种改进如惯性权重!收敛因子!跟踪并
优化动态目标等模型"阐述了算法在目标函数优化!神经网络训练!模糊控制系统等基本领域的应用并
给出其在工程领域的应用进展,最后,对粒子群优化算法的研究和应用进行了总结和展望,指出其在计算
机辅助工艺规划领域的应用前景"-PSO algorithm! ! ! A systematic introduction to PSO algorithm, summed up its development process such as the improvement of inertia weight! Convergence factor! track and dynamic optimization model objectives, "explained the algorithm optimization objective function! Neural Network Training! Fuzzy Control System basic areas of application and gives the project from its the application domain, finally, the PSO algorithm research and application of the summary and outlook. pointed out in the field of computer-aided process planning applications prospects "
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Author: 八云 |
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Description: 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!
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Size: 2048 |
Author: 张波 |
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Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
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 Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications
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Author: zzh |
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Description: 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 Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications.
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Size: 883712 |
Author: wzy |
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Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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Size: 1024 |
Author: Mehran Ahmadlou |
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Description: Fuzzy control Design using ANFIS for a power system with svc
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Size: 4084736 |
Author: hasa moon |
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Description: pso with Fuzzy document
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Size: 25600 |
Author: Vijay |
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Description: 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
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Size: 3196928 |
Author: sukuifeng |
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Description: 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.
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Size: 4659200 |
Author: jiwei |
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Description: 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
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Size: 2048 |
Author: gsy |
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Description: 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
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Size: 662528 |
Author: zixi2000 |
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Description: 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
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Size: 204800 |
Author: cathy |
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Description: upqc pso fuzzy:UPQCSignaDetectionAlgorithm
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Size: 1348608 |
Author: nrvijayakumar |
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Description: 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 algorithms
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Description: PSO Fuzzy Modeler (Mamdani) for charger
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Size: 5120 |
Author: Samuel |
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Description: 2017 Fuzzy-PSO controller design for maximum power point tracking in photovoltaic system
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Size: 917504 |
Author: hieuhuech1
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Description: 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:Particle swarm optimization) is an evolutionary computing technology (Evolutionary Computation).
The study of the behavior of bird predator. The basic idea of particle swarm optimization (PSO) is to find the optimal solution through the collaboration and information sharing among the individuals in the group.
The advantage of PSO is that it is simple and easy to implement without many parameters. At present, it has been widely used in function optimization, neural network training, fuzzy system control and other genetic algorithms.)
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Size: 5120 |
Author: 安联的大球童 |
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Description: matlab code for tsp using pso
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Size: 400384 |
Author: usgaa |
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Description: PSO FUZZY electricalmatlab
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Size: 212992 |
Author: bydr |
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