搜索资源列表
vc_pso719
- 粒子群算法的示例程序，不错。可用来进行函数优化、神经网络训练等。-PSO algorithm sample program, yes. Available for function optimization, neural network training.
PSO
- 用粒子群算法（PSO）优化样本再拟合函数找出最大值-Using Particle Swarm Optimization (PSO) to find optimal maximum sample and then fitting function
Teachingpso
- PSO算法，老师上课给的例题，虽然他的研究生编程编的有点不那么简洁，但指导一下还是可以的-PSO algorithm, the sample questions to the class teacher, although his post-graduate program made a bit less concise, but still be able to tell the
new
- a nice pso sample to know what is it
psoMB
- this code written for solve a sample test function by pso based on mutation.
pso-ppt-sample
- 微粒群优化算法 （PSO） 是一种进化计算技术 , 由Eberhart博士和kennedy博士于1995年提出。微粒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。 -Particle Swarm Optimization (PSO) is an evolutionary computation technique, by Dr. Eberhart and Dr. kennedy made in 1995. Particle Swarm Optimization Alg
pso
- 粒子群算法入门程序，对一个示例函数求极大值，程序含有详细注释。-PSO entry procedures to request a sample function of maximum value, the program contains the detailed comments.
constrain-opt
- 针对工程优化设计问题,提出了基于混沌粒子群算法的工程约束优化问题求解方法。CPSO算法利用混沌搜 索的全局遍历性、随机性和规律性等特点, 引导粒子在全局范围内搜索, 从而克服了传统粒子群算法早熟收敛的缺点。 该算法以种群适应度方差作为粒子群优化算法早熟收敛的判据, 并用惩罚函数法处理违法约束的粒子, 当基本粒子群算 法陷入早熟时, 随机选择粒子群中的部分粒子实施混沌搜索, 直至满足迭代收敛条件为止。CPSO算法能提高种群的多 样性和粒子搜索的遍历性, 从而有效提高了PSO算法的收
Simple-Integer-Programming
- Discrete PSO optimization code in matlab sample integer programming
PSO-BASED-OPTIMAL-PMU-PLACEMENT
- SAMPLE CODE FOR OPTIMAL PMU PLACEMENT
lizilvbo
- 粒子滤波算法摆脱了解决非线性滤波问题时随机量必须满足高斯分布的制约条件，并在一定程度上解决了粒子群样本匮乏问题-Particle filter to get rid of the problem solving nonlinear filtering Gaussian random quantity must meet the constraints, and to some extent, solve the problem of lack of PSO sample
psosvm
- 将SVM与粒子群算法(PSO)相结合,充分利用SVM在处理小样本回归问题上具有的独特优越性及PSO全局搜索优化等特点-SVM and particle swarm optimization algorithm (PSO) combined with SVM, makes full use of the unique superiority and the PSO global search optimization features in small sample regression prob
Hybrid-PSO-GSA-Code
- Hybrid PSO and GA algorithm codes for Global optimization problems with a sample and cost function.
mat-pso-localization-master1
- mat-pso-localization === === === == Mobile robot localization using Particle Swarm Optimization This is a simple localization algorithm for mobile robots that accepts a prebuilt map of the robot s enviornment stored as an occupancy grid
qkekpisb
- 插值与拟合，解方程，数据分析，包含特征值与特征向量的提取、训练样本以及最后的识别，基于分段非线性权重值的Pso算法，鲁棒性好，性能优越，计算加权加速度,BP神经网络用于函数拟合与模式识别。- Interpolation and fitting, solution of equations, data analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final re
fctbgbxp
- 采用热核构造权重，包含优化类的几个简单示例程序，可以得到很精确的幅值、频率、相位估计，MIMO OFDM matlab仿真,基于分段非线性权重值的Pso算法，对HARQ系统的吞吐量分析。-Thermonuclear using weighting factors Optimization class contains several simple sample programs, You can get a very accurate amplitude, frequency, phase es
fqqckifd
- 双向PCS控制仿真，使用混沌与分形分析的例程，到达过程是的泊松过程，包含优化类的几个简单示例程序，基于分段非线性权重值的Pso算法，可以广泛的应用于数据预测及数据分析。-Two-way PCS control simulation, Use Chaos and fractal analysis routines, Arrival process is a Poisson process, Optimization class contains several simple sample prog
ejcprici
- 基于分段非线性权重值的Pso算法，模拟数据分析处理的过程，matlab开发工具箱中的支持向量机，包含优化类的几个简单示例程序，各种kalman滤波器的设计。- Based on piecewise nonlinear weight value Pso algorithm, Analog data analysis processing, matlab development toolbox support vector machine, Optimization class contains s
pso-learning-in-matlab
- pso sample in matlab
改进的PSOBP
- 使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过，替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)