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samudi2008
- Hydro Thermal Scheduling using Particle Swarm Optimization
现代粒度测量基础理论
- 现代沉积物分析中，粒度分析教程，不同实验法(Modern sediment analysis, particle size analysis tutorials, different experimental methods)
书籍computational_fluid_dynamics
- Computational fluid dynamics has been a hot topic of research these last forty years, and several books have been published on this topics. This book concentrates on the numerical of Computational Fluid Mechanics, followed by some focus of new dev
刘谋斌Smoothed_Particle_Hydrodyna(BookFi)
- Smoothed Particle Hydrodynamics: A Meshfree Particle Method by Gui-Rong Liu, M. B. Liu
OPF control of dc grid
- 针对直流电网中的最优潮流问题，提出了一种基于模糊控制理论的自适应粒子群算法，以实现电网兼顾有功网损和电压质量的优化运行。(To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation consi
ParticleFilterTutorial
- 非常经典的粒子滤波文章，内包括EKF和各种粒子滤波算法介绍(Very classic particle filter article, including EKF and a variety of particle filter algorithm)
SLPSO
- Social Learning Particle Swarm Optimization
朗之万方程的应用
- Brownian motion of particles suspended in a fluid is studied, and expressions derived for the particle diff usivity and velocity autocorrelation function. The theory of thermal noise in a general linear system is applied to both the particl
87361014GM
- 用来做预测的，将灰色理论和粒子滤波相结合(The combination of grey theory and particle filter is used for forecasting.)
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an
自适应PSO与MPPT
- 将粒子群优化算法引入光伏电池最大功率追踪，对于研究MPPT的人员，可以参考学习(Particle swarm optimization (PSO) algorithm is introduced into maximum power tracking of photovoltaic cells, which can be used as a reference for people who study MPPT.)
Dissipative particle dynamics Bridging the gap between atomistic
- DPD模拟标准级的论文，开山之作，做DPD的一定要看！！1
Python极客项目编程
- 《Python极客项目编程》里面讲解了一些很好玩的项目。 利用参数方程和turtle模块生成万花尺图案； ● 通过模拟频率泛音在计算机上创作音乐； ● 将图形图像转换为ASCII文本图形； ● 编写一个三维立体画程序，生成隐藏在随机图案下的3D图像； ● 通过探索粒子系统、透明度和广告牌技术，利用OpenGL着色器制作逼真的动画； ● 利用来自CT和MRI扫描的数据实现3D可视化； ● 将计算机连接到Arduino编程，创建响应音乐的激光秀。(Python Geek Program
智能算法总结
- 该文档对智能算法，包括遗传算法、粒子群算法、禁忌搜索算法和人工神经网络算法等的概念和性能进行了基本总结(This paper summarizes the concept and performance of intelligent algorithms, including genetic algorithm, particle swarm optimization algorithm, tabu search algorithm and artificial neural network a
复杂边坡
- 基于颗粒流的边坡稳定分析模型，此命令流适用于复杂边坡模型建立，可修改内部参数调试(Slope stability analysis model based on particle flow)