cs-omp

说明：  Induction machine model

matlab程序运行时导入数据文件作为输入参数，三相光伏逆变并网的仿真，BP神经网络的整个训练过程。( Import data files as input parameters matlab program is running, Three-phase photovoltaic inverter and network simulation, The entire training process BP neural network.)

本章首先介绍了TEQC软件的基本功能，包括格式转换、数据编辑、质量检查、单点定位。接着列出了一些TEQC软件的常用命令，并作了详细的注释(This chapter introduces the basic functions of TEQC software, including format conversion, data editing, quality control, single point positioning. Then a list of some common commands TEQC software, and made detailed notes)

The Hilbert transform is a linear operator which takes a function, u(t), and produces a function, H(u)(t), with the same domain.

this a very good pv model done with mathwork sites

trainig neural networks

很多经典的粒子群算法的matlab程序，智能计算方面的(Many classical PSO algorithm matlab procedures, intelligent computing)

Image processing codes

说明：  Chan算法，可以用于求非线性方程组的解(Chan algorithm for solving non-linear equations)

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)