pv_modulis

说明：  经典Runge-Kutta法，计算积分的源代码，用matlab实现(Classical Runge-Kutta method to calculate the source code of points, using matlab implementation)

APF的模型，采样ip-iq法进行谐波提取，PI控制作为补偿算法，三电平spwm作为调制方式，在网侧添加了LCL滤波，个人感觉效果还不错，准备再添加重复控制，在谐波提取方面采样DFT来尝试(APF model, sampling ip-iq method for harmonic extraction, PI control as compensation algorithms, three-level spwm as modulation, the network side added a LCL filter, the effect of personal feeling good, ready to add a duplicate control, in harmony wavelet extraction areas to try sampling DFT)

独立分量分析中的固定点算法用于处理图片,算法可以分析医院的影像图片，进而有助于对病人的器官进行功能性分析。( Independent component analysis in fixed-point algorithms for processing the image, the algorithm may analyze the hospital s image picture, and thus contribute to the patient s organ for functional analysis.)

稀疏表示经典著作 John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序(# impFaceRecognition A Matlab implementation of Face Recognition using Sparse Representation the original paper: John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009. In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please cite the paper: Multi-scale Sparse Representation for Robust Face Recognition )

这是matlab遗传算法的优秀论文，绝对对大家有用。 我也在用，给大家分享。(This is an excellent genetic algorithm matlab thesis absolutely useful to everyone. I also used to share with you all.)

　用水量预测在城市建设规划、供水系统的调度 管理中都具有重要作用。常用的预测方法可分为两 类,一类是解释性预测方法,即找出被预测量的各影 响因素,建立回归分析模型(Water demand in urban planning, regulation and management of water systems has an important role. Commonly used forecasting methods can be divided into two categories, one is an explanatory forecasting method, which is predicted to identify the amount of the influencing factors, a regression analysis model)

在matlab环境下，利用ode命令求解常微分方程组的学习算例(In the matlab environment, the use of the command for solving ordinary differential equations ode to learn examples)

ANN on back propagation

用PSO优化LSSVM的参数，得到最优参数，使得分类更加准确。(Using the PSO the LSSVM the parameter, the optimal parameters, more accurate classification. )

NEWMARK方法求解结构动力学源程序，可求解较大自由度时的响应(newmark algorithm source)