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
program
- 编写了一个pso优化bp神经网络的程序，应用在分类中。第一步：pso优化bp神经网络得到最优的阈值和权值，第二步bp神经网络把该最优的阈值和权值作为初始阈值和权值，采用动量及自适应学习速率算法进行训练。附件中，是数据和编写的部分程序，tiqushuju是用来提取文本中的数据构造样本集的函数。mubiao是用来构造期望输出的函数。bp是已经编写好的，未使用pso优化的bp神经网络函数。pso是本人编写的pso优化bp神经网络的函数，psobp是采用pso优化的阈值和权值作为bp神经网络的初始权值和
pso-tsp-parallel-by-tedade-tekrar
- mpi.net sample of tsp problem using pso algorithm
PSO-SampEn--ApproxiEN-RVM
- PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些 样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate ent
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
pso-learning-in-matlab
- pso sample in matlab
pso-example-java-master
- Particle Swarm Optimization (PSO) Sample Code using Java This project is a complete version of Particle Swarm Optimization with Java sample code described in http://gandhim.wordpress.com/2010/04/04/particle-swarm-optimization-pso-sample-code-usi
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)