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    A Network and Its Simulation for Trajectory Recognition Based on PSO Algorithm
    基于PSO算法的弹道辨识网络及仿真
    Neural Network Ensembles Based on Improved PSO Algorithm
    基于改进的PSO算法的神经网络集成
    Improved PSO algorithm and its application in short-term generation scheduling
    基于改进PSO算法的短期发电计划研究
    Advanced PSO algorithm of reactive power optimization in power system
    基于改进PSO算法的电力系统无功优化研究
    Image segmentation based on PSO algorithm
    基于PSO算法的图像分割方法
    Second-Order Polarization Mode Dispersion Self-adaptive Compensation Experiment Using PSO Algorithm
    使用PSO算法的二阶偏振模色散自适应补偿实验
    Optimal design for two degree-of-freedom PID controller based on PSO algorithm
    基于PSO算法的目标值前馈型二自由度PID控制器的优化设计
    Optimization and Simulation of Continuous Casting Secondary Cooling Based on Enhanced PSO Algorithm
    基于改进PSO算法的连铸二冷过程优化仿真
    Study on Function Optimization and Model Reduction Based on a Class of Hybrid PSO Algorithm
    基于一类混合PSO算法的函数优化与模型降阶研究
    STRUCTURAL DAMAGE DETECTION BASED ON AN IMPROVED PSO ALGORITHM
    基于改进PSO算法的结构损伤检测
    A nonlinear model predictive control based on PSO algorithm
    一种基于PSO算法的非线性模型预测控制方法
    A FCMAC Controller Based on PSO Algorithm and its Application for Fresh Steam Temperature Control
    基于PSO算法的FCMAC控制器及其在主汽温控制中的应用
    Performance analysis of adaptive PMD compensation in WDM system based on PSO algorithm
    基于PSO算法的WDM系统中自适应PMD补偿的性能分析
    PID Parameters Optimization for Motor Controller System Based on Improved PSO Algorithm
    基于改进PSO算法的电机控制系统PID参数优化
    In the system a kind of controller is designed which is the combination of PSO algorithm and PID control theory.
    并将PSO算法与PID控制方法相结合,设计了一种基于PSO算法的PID控制器;
    The effectiveness of the refined PSO algorithm is verified by practical calculation example, the convergence speed of refined PSO algorithm is faster than that of genetic algorithm(GA) and the solutions of refined PSO algorithm are more precise than those of common PSO algorithm and GA.
    通过具体算例验证了改进PSO算法的有效性,而且其收敛速度比遗传算法(GA)快,求解精度比普通的:PSO和GA的高。
    To avoids the local minimum problems and to improve convergent speed, a new probability of PSO algorithm was proposed.
    为了避免PSO算法在求解最优化问题时陷入在局部最优及提高PSO算法的收敛速度,提出了对PSO算法增加更新概率。
    Aiming to overcome the limitations of standard PSO algorithm, a modified PSO algorithmis proposed by adjusting key parameters to improve the convergence and introducingnon-uniform mutation mechanism to enhance the global search ability of the algorithm andhence achieve better-quality solutions.
    本文全面分析了标准 PSO 算法的基本原理、主要参数、收敛性和优缺点,针对算法在收敛性能和搜索精度方面存在的缺陷,提出了 PSO 算法的改进思路:一方面根据所得到的收敛性结论,对算法关键参数的设置进行改进,以提高算法的收敛性能; 另一方面在算法中引入非均匀变异机制,以增强算法的全局搜索能力。
    To the plants with uncertainties, several control methods with self-tuning parameters and PSO algorithm based optimal design for the controllers are proposed in this thesis. The experiments of basis weight control, controlling hydraulic turbine generators are made.
    本文针对不确定对象,提出了多种控制器参数自整定方法及基于PSO算法的控制器优化设计方法,并进行仿真实验,验证了所提出的方法的有效性。
    Basis PSO algorithm and its potential engineering applications such as neural network training and parameter setting of PID controller is introduced.
    本文系统的介绍了PSO算法的基本性能,并归纳总结了其发展过程和应用。
 

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