搜索资源列表
REAAL
- real-time 3D pointing gesture recognition algorithm for natural human-robot interaction (HRI). The recognition errors in previous pointing gesture recognition algorithms are mainly caused by the low performance of the hands tracking module an
170
- This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm-This paper present a new method to determine the optimal tuning o
logic2010
- This article presents particle swarm optimization (PSO)-based optimal gain tuning of proportional integral (PI) speed controller in an induction motor (IM) drive (30 hp) with mine hoist load diagram
paricle-swarm-
- particle swarm optimization explanation file is present
matlab-code
- 混合粒子群算法代码及其混合粒子群算法代码大全-Hybrid particle swarm algorithm code and its hybrid particle swarm algorithm code.
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
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
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
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
Particle-swarm-optimization
- 粒子群算法（ Particle Swarm Optimization, PSO）最早是由Eberhart和Kennedy于1995年提出，它的基本概念源于对鸟群觅食行为的研究。-Particle swarm optimization (Particle Swarm Optimization, PSO) was first proposed in 1995 by the Eberhart and Kennedy, it stems from the basic concept study fora
Particle_Swarm_Optimization
- PARTICLE SWARM OPTIMIZATION
Particle-Swarm-Optimization
- 水库群调度的粒子群优化原理ppt介绍，包括原理目标函数约束等具体内容-Particle swarm optimization principle reservoir group scheduling ppt presentation, including the principle of objective function constraints specific content
06675643
- 提高电源的动态响应 非线性和复杂的系统是一个转换器 电力电子的有趣的挑战。摘要介绍了 设计和实现数字PID控制器使用 混沌粒子群优化(复)提振 转换器,提出了自动调优转换器的方法 最优启动响应。当系统启动时,处理器 单元分析了开环启动响应转炉和 在一些迭代使用复准备最佳反应 算法。使用逻辑映射混沌映射序列 增加它的收敛速度和精度。模拟 和实现结果显示提出的效率 方法-Improving dynamic response of DC-DC converters whi
dg-placement
- It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.-It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.
sph_monaghan_page32
- Smoothed Particle Hydrodynamics_monaghan
2012-sph-Multi-Phase-Flows
- 2012 A Study on Application of Smoothed Particle Hydrodynamics to Multi-Phase Flows szewc2012
FEGAPSO
- 一种结合遗传算法和粒子群优化算法的高光谱图像分类方法。-Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization