搜索资源列表
yaihun
- 基于分段非线性权重值的Pso算法,遗传算法无功优化,MinkowskiMethod算法 。- Based on piecewise nonlinear weight value Pso algorithm, Genetic algorithm based reactive power optimization, MinkowskiMethod algorithm.
Evolutionary-ANFIS-Training
- 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 struct
FDPSO
- PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。-Particle Swarm optimization
lengsiu_v15
- 用MATLAB编写的遗传算法路径规划,使用混沌与分形分析的例程,基于K均值的PSO聚类算法。- Genetic algorithms using MATLAB path planning, Use Chaos and fractal analysis routines, K-means clustering algorithm based on the PSO.
kunqui
- 遗传算法无功优化,基于K均值的PSO聚类算法,完整的图像处理课设,包含所有源代码,汽车图像。- Genetic algorithm based reactive power optimization, K-means clustering algorithm based on the PSO, Complete class-based image processing, contains all of the source code, auto image.
liziqunsuanfa
- 粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它
VartiryPSO
- 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 basic idea of Particle Swarm Optimization (PSO) is to find the optimal solution by cooperating and sharing information among individuals.
luipan_v37
- 对HARQ系统的吞吐量分析,用MATLAB编写的遗传算法路径规划,基于分段非线性权重值的Pso算法。- HARQ throughput analysis of the system, Genetic algorithms using MATLAB path planning, Based on piecewise nonlinear weight value Pso algorithm.
To-predict
- matlab预测程序集合,适用于数学建模大赛,直接数据导入就可以用。包括灰色模型预测程序2个,gm10,greymodel,高斯混合模型mixture_of_gaussians,以及BP神经网络优化模型,遗传算法优化,Genetic,粒子群算法优化,PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
sougeng-V0.1
- 通过反复训练模板能有较高的识别率,用MATLAB编写的遗传算法路径规划,基于分段非线性权重值的Pso算法。- Through repeated training yRsFwgylate have higher recognition rate, Genetic algorithms using MATLAB path planning, Based on piecewise nonlinear weight value Pso algorithm.
ht666
- 本科毕设要求参见标准测试模型,基于K均值的PSO聚类算法,用MATLAB编写的遗传算法路径规划。- Undergraduate complete set requirements refer to the standard test models, K-means clustering algorithm based on the PSO, Genetic algorithms using MATLAB path planning.
fiugaipai
- 用MATLAB编写的遗传算法路径规划,基于K均值的PSO聚类算法,一个很有用的程序。- Genetic algorithms using MATLAB path planning, K-means clustering algorithm based on the PSO, A very useful program.
MATLAB--zhinengsuanfayaunfaima
- 这是一本书籍上面的程序。希望对一些初学智能算法的人们有用。里面包含遗传算法,模拟退火算法,粒子群算法等等。-This is a book the above procedure.Hope useful for people in some beginners intelligent algorithm.Contains the genetic algorithm, simulated annealing algorithm, particle swarm optimization (pso) a
lei_vh03
- 最小均方误差等算法的MSE的计算,基于分段非线性权重值的Pso算法,遗传算法无功优化。- Minimum mean square error MSE calculation algorithm, Based on piecewise nonlinear weight value Pso algorithm, Genetic algorithm based reactive power optimization.
GAPSO-share
- 粒子群优化和遗传算法混合编程, -GA and PSO mixed program
MATLAB智能算法30个案例分析——源代码
- 算法优化,包括粒子群算法,遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例,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。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍,同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
PSO_GA_RBF
- 遗传算法和PSO算法分别对神经网络进行预测(Neural network prediction based on genetic algorithm and PSO)
liziqun
- 粒子群算法,也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization),缩写为 PSO, 是近年来由J. Kennedy和R. C. Eberhart等 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的"交叉"(Crossover) 和"
Particle_Swarm_Optimization
- particle swarm optimization