搜索资源列表
Paper
- particle filter on mimo ofdm system
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method
chapter10
- 基于粒子群算法的多目标搜索算法 基于粒子群算法的多目标搜索算法-Multi-target search algorithm based on particle swarm optimization based particle swarm algorithm for multi-target search algorithm
IST1videosBend
- 目标跟踪，粒子滤波，图像集，用于目标跟踪-Target tracking, particle filter, image sets for target tracking
bp
- PSO particle swarm optimiztion tool box
DETEST
- PSO particle swarm optimiztion tool box
ex3_1b
- PSO particle swarm optimiztion tool box
exe3.1a
- PSO particle swarm optimiztion tool box
job
- 使用粒子群算法解决车间作业调度问题的文章，有关于PSO的介绍。-Particle swarm algorithm to solve the Job Shop Scheduling Problem articles, introduction about PSO.
jobshop
- 使用遗传算法和粒子群算法共同解决混合车间作业调度问题的文章-The use of genetic algorithm and particle swarm algorithm to solve the articles of the Hybrid Job Shop Scheduling Problem
MODIFIED_MULT
- 粒子群算法的说明，以及它在解决多目标问题时候的先进性。-Particle Swarm Optimization
PSO_matlab
- 粒子群算法 Matlab编程实现 这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。只有几十行代码。-Particle swarm algorithm Matlab programming, this program is the basic particle swarm optimization algorithm procedures, using Matlab, very simple. Only a few dozen lines of code.
New-folder-(3)
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
pkfnd
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
read_gdf
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
track
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
PSO
- 利用改进的粒子群算法解决旅行商问题，即g改进的PSO解决TSP,在调用程序时，直接输入pso（c,n），c为距离矩阵，请自己给出，n为粒子群个数-Improved particle swarm algorithm to solve the traveling salesman problem, ie g Improved PSO to solve the TSP
main
- 基于粒子群算法的多目标搜索算法，主要解决背包问题，直接运行即可 -Multi-objective particle swarm optimization-based search algorithm, mainly to solve the knapsack problem, can be run directly
empirical-study-usin-pso
- This study uses an empirical study of the efficiency of Particle swarm optimization (PSO) in segmentation of brain abnormalities. Presently, segmentation poses one of the most challenging problems in medical imaging. Segmentation of Magneti
56566
- 采用一种混合骨干微粒群优化算法的 感应电机转子断条故障诊断 -Broken Rotor Bar Fault Diagnosis of Induction Motors Using a Hybrid Bare-bones Particle Swarm Optimization Algorithm