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粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。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
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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
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粒子群算法、遗传算法优化RBF径向基神经网络。-Particle swarm optimization, genetic algorithm optimization of RBF Radial Basis Function Neural Networks.
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particle swarm optimization (PSO) for wirreless sensor networks matlab code
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粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks
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用粒子群算法和LM算法结合的方式训练神经网络，求函数的最小值。-Using Particle Swarm Optimization and the LM algorithm combines the approach for training neural networks, seeking the minimum value of the function.
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粒子群优化的无线传感器网络仿真研究Particle Swarm Optimization Simulation of Wireless Sensor Networks-Particle Swarm Optimization Simulation of Wireless Sensor Networks
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This code is a particle swarm optimization for localization in wireless sensor networks
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5篇有关粒子群优化神经网络的文章，caj格式的-Particle swarm optimization of neural networks related to the article, caj format
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Routing and Load balancing in MANET using Particle Swarm Optimization
Abstract
Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infra
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Routing and Load balancing in MANET using Particle Swarm Optimization
Abstract
Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infra
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粒子群算法的寻优算法，matlab，神经网络，非线性函数极值寻优-Particle swarm optimization algorithm, matlab, neural networks, nonlinear optimization function extremum
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自适应遗传算法优化RBF神经网络，粒子群算法优化RBF神经网络仿真结果比较。程序可直接运行-Adaptive genetic algorithm to optimize the RBF neural networks, particle swarm optimization on RBF neural network simulation results compared. Program can be run directly
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30个matlab经典智能算法案例分析，包括遗传算法、粒子群算法、神经网络相关案例-30 classic matlab intelligent algorithm case studies, including genetic algorithms, particle swarm optimization, neural networks case
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Particle swarm optimization in wireless sensor networks
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粒子群算法优化nn神经网络，为优化神经网络参数提供新的思路-Particle Swarm Optimization nn neural networks, to provide new ideas for optimizing neural network parameters
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智能算法：神经网络，极限学习机，遗传算法，粒子群算法，蚁群算法，鱼群算法，人工免疫算法-Intelligent algorithms: neural networks, Extreme Learning Machine, genetic algorithm, particle swarm optimization, ant colony algorithm, fish swarm algorithm, artificial immune algorithm
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神经网络的经典应用，小波神经网络、离散神经网络、模糊神经网络、遗传算法、粒子群优化-Classic application of neural networks, wavelet neural network, discrete neural networks, fuzzy neural networks, genetic algorithms, particle swarm optimization
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使用遗传算法、粒子群优化算法和量子遗传算法对认知无线网络进行频谱分配-Using genetic algorithms, particle swarm optimization algorithm and quantum genetic algorithm for spectrum allocation in cognitive radio networks
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Allocation and Estimation of DG Capacity in Distribution Networks by Particle Swarm Optimization
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