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说明：  有限元分析视频学习，可用于有限元分析视频学习(Finite element analysis video learning, used for finite element analysis video learning)

Training a 3 layers feed forward neural network using back propagation algorithm

说明：  基于单位功率因数控制策略的单相有源滤波，去掉非线性负载部分即为单相全控整流。开关器件采用IGBT。(Based on the unity power factor control strategy of single-phase active power filter, remove the part of non-linear load is the single-phase full-controlled rectifier. Switching device IGBT.)

子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)

二维弹性力学边界元程序中调试中的问题，有助于初学者从中发现问题，学习编写程序(Plate of Elastic Static)

这是一个数组练习，程序的作用是查询一个一维数组（数值型数组）中每一个元素出现的次数，且元素出现的顺序不能改变(This is an array of exercises, the program' s role is to query a one-dimensional array (numeric array) in the number of occurrences of each element, and the element can not be changed in order of appearance)

一般矩阵的schur分解，编译即可运行，需要文件输入(schur decomposition, the program can run successfully, you need a file for input)

数字信号处理FFT算法rfft.c，简单易懂。。(Digital signal processing FFT algorithm rfft,Straightforward..)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。(The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building)