Search - fuzzy swarm

[Other resource] 差别算法matlab源码

Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).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 technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross - (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Platform: | Size: 16633 | Author: 张正 | Hits:

[AI-NN-PR] 差别算法matlab源码

Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).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 technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Platform: | Size: 16384 | Author: | Hits:

[Graph program] pso1

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.
Platform: | Size: 2048 | Author: jun | Hits:

[Other] 123ParticleSwarmOptimization(PSO)Algorithm

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 "
Platform: | Size: 53248 | Author: 八云 | Hits:

[Graph program] fuzzy_thresh

Description: 一个基于模糊阈值的图象分割,是基于MATLAB编程的,希望对大家有所帮助!-a threshold based on the fuzzy image segmentation is based on MATLAB programming, we want to help!
Platform: | Size: 2629632 | Author: 姚庆杏 | Hits:

[matlab] PSO-evolutionarycomputation

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
Platform: | Size: 22528 | Author: zzh | Hits:

[MPI] PSOtoolbox

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.
Platform: | Size: 883712 | Author: wzy | Hits:

[Other] FNN_PSO

Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
Platform: | Size: 1024 | Author: Mehran Ahmadlou | Hits:

[matlab] 4

Description: fuzzy inertia weight particle swarm optimization
Platform: | Size: 1024 | Author: Hamed | Hits:

[AI-NN-PR] 2009032614571153815

Description: 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
Platform: | Size: 8192 | Author: 王科 | Hits:

[Special Effects] xiefen

Description: 模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割-Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding
Platform: | Size: 6144 | Author: 小冰郎 | Hits:

[AI-NN-PR] Biomimicry

Description: kevin passino的经典智能控制辨识的书，内容涉及智能控制中的群智能算法，T-S模糊模型，神经网络-kevin passino identification intelligent control of the classic book, covering Intelligent Control of swarm intelligence algorithm, TS fuzzy model, neural network
Platform: | Size: 9986048 | Author: 肖剑 | Hits:

[Mathimatics-Numerical algorithms] Computational-Intelligence-Paradigms-Theory-a-App

Description: The aim of this book is to furnish some theoretical concepts and to sketch a general framework for computational intelligence paradigms such as artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms, genetic programming, and swarm intelligence. The book includes a large number of intelligent computing methodologies and algorithms employed in computational intelligence research. The book also offers a set of solved programming examples related to computational intelligence paradigms using MATLAB software. Additionally, such examples can be repeated under the same conditions, using different data sets. Researchers, academicians, and students in computational intelligence can use this book to verify their ideas related to evolution dynamics, self-organization, natural and artificial morphogenesis, emergent collective behaviors, swarm intelligence, evolutionary strategies, genetic programming, and evolution of social behaviors.
Platform: | Size: 6013952 | Author: Umar | Hits:

[Special Effects] 8

Description: 本文提出了一种基于图像配准的自动目标识别算法,图像配准算法采用基于归一化互信息相似性判据,并采用模糊自适应粒子群优化算法作为搜索策略。在图像精确配准的基础上,通过图像间的相互转换,间接实现了目标的准确识别。仿真试验结果表明,该方法可以实现复杂背景下目标的准确识别。 -This paper presents a novel image registration algorithm for automatic target recognition, image registration algorithm based on normalized mutual information similarity criterion, and the fuzzy adaptive particle swarm optimization algorithm as search strategy. In the image on the basis of accurate registration, through the conversion between images, the accuracy of indirect recognition to achieve the target. Simulation results show that the complex background can accurately identify targets.
Platform: | Size: 355328 | Author: wenping | Hits:

[matlab] POSRBFNN

Description: mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
Platform: | Size: 8192 | Author: zhaoyunyuan | Hits:

[AI-NN-PR] Particle-algorithm

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。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 computing (evolutionary computation), there is invented by Dr. Eberhart and Dr. kennedy. From the behavior of birds of prey. PSO with genetic algorithm is similar to an iteration-based optimization tool. System is initialized to a group of random solutions, the optimal value by iterative search. But there is no genetic algorithm with the cross (crossover) and mutation (mutation). But the particles in the solution space to follow the optimal particle search. Comparison with genetic algorithms, PSO has the advantage of simple and easy to implement and there is no need to adjust many parameters. Has been widely used in function optimization, neural network training, fuzzy system control, and other genetic algorithm applications.
Platform: | Size: 10240 | Author: 天涯 | Hits:

[Software Engineering] Ant-particle-swarm

Description: 基于蚁群粒子群的模糊神经网络交通流量预测，是做毕业设计参考的文献，希望对做交通流预测的同学有帮助-Ant particle swarm-based fuzzy neural network traffic flow forecasts, is doing graduate design reference literature, and help students to do traffic flow forecasting
Platform: | Size: 186368 | Author: zhanghu | Hits:

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