quhunxiangDCT

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)

科学计算引论 即 matlab数值分析 （第二版）(numerical value analysis based on matlab)

说明：  MATLAB5_X程序设计语言.pdf 用于matlab程序设计(MATLAB5_X programming languages. Pdf for matlab programming)

基于matlab的主成分分析源程序进行贡献度分析(The principal component analysis based on matlab source contribution analysis conducted)

生成矩阵和校验矩阵的生成在MATLAB语言下的实现(Generated matrix and calibration matrix generated in the MATLAB language to achieve under)

Matlab神经网络工具箱的应用简介，从原理到应用(Neural network toolbox)

自编MATLAB,里面包括：31点滚降，4psk程序，new眼图，等等(Self MATLAB, which includes: 31 point roll, 4psk procedures, new eye, and so on)

这个文件简述了一种混合编程方法 基于组件对象模型(组件对象模型, COM),用Matlab VBA。 (The article introduced a hybrid programming method based on Component Object Model (Component Object Model, COM) with Matlab and VBA. )

该程序利用matlab语言编写的,实现的是部分微分PID算法及仿真功能(The program using matlab languages, achieved a partial differential PID algorithm and simulation)

Power Iteration Clustering projection Input: W - row-normalized affinity matrix v0 - starting vector conv - convergence threshold maxit - maximum number of iterations Output: vt - 1-d PIC embedding i - iterations ran t - runtime