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:
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:
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:
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:
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:
Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network. Platform: |
Size: 1024 |
Author:Mehran Ahmadlou |
Hits:
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:
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:
Description: MATLAB神经网络30个案例分析__读者调用案例的时候，只要把案例中的数据换成自己需要处理的数据，即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序），包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群）、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as long as the data in the case replaced by the data they need to be addressed, you can achieve your desired network. A total of 30 MATLAB neural network case (including running the program) in the book, including BP, RBF, SVM, the SOM, Hopfield, on LVQ, Elman, wavelet neural network also contains the PSO (Particle Swarm), gray neural network, fuzzy networks, probabilistic neural networks, genetic algorithms optimization. Platform: |
Size: 11300864 |
Author:liuwei |
Hits:
Description: 模糊多目标粒子群算法，基于matlab环境，可供学习者参考。-Fuzzy multi-objective particle swarm algorithm, based on the Matlab environment for learners Reference. Platform: |
Size: 626688 |
Author:步月 |
Hits:
Description:
Home
Metaheuristics
Machine Learning
Multiobjective Optimization
Fuzzy Systems
Applications
Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB
ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique.-
Home
Metaheuristics
Machine Learning
Multiobjective Optimization
Fuzzy Systems
Applications
Home \ Multiobjective Optimization \ Multi-Objective PSO in MATLAB
ypea121-mopso
Multi-Objective PSO in MATLAB
in Multiobjective Optimization 8 Comments 2,599 Views
Multi-Objective Particle Swarm Optimization (MOPSO) is proposed by Coello Coello et al., in 2004. It is a multi-objective version of PSO which incorporates the Pareto Envelope and grid making technique. Platform: |
Size: 11264 |
Author:ankita |
Hits:
Description: MATLAB 神经网络源代码，包括BP网络、RBF网络、模糊神经网络、小波神经网络、PSO群优化等共43个网络源代码，并有实际案例-MATLAB neural network source code, including BP network, RBF network, fuzzy neural network, wavelet neural network, PSO Swarm Optimization, a total of 43 network source code, and there are actual cases Platform: |
Size: 25954304 |
Author:yishuang |
Hits:
Description: 用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem. Platform: |
Size: 21504 |
Author:张贝 |
Hits:
Search - fuzzy swarm matlab