varioref

说明：  matlab与数据库连接方法，通过ODBC/JDBC 接口访问具体的数据库 。(matlab with the database connection method, via ODBC/JDBC interface to access specific databases)

This a ddk filter sample for keyboard

本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割( in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation. Author: Associate Prof. Yuanquan Wang, Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin 300191, China 01/20/2008 Reference: 1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007. 2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance, at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf )

用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序.(Using matlab based on the Bayes minimum error rate classifier simulation, the preparation of the corresponding program.)

haffman编码，用matlab实现哈夫曼编码(haffman coding)

有关曲线拟合以及解方程组的方法，及其相关指令(About fitting and solve equations)

Fuzzy Immune PID Control，将模糊控制、免疫控制、自适应PID控制相结合，已调试成功，很好用。(Fuzzy Immune PID Control, fuzzy control, immune control, adaptive PID control combined with already successful commissioning, very good use.)

Bootstrapping Fuzzy-GARCH Regressions on the Day of the Week Effect in Stock Returns

说明：  BP神经网络算法，BP(back propagation)神经网络是一种按照误差逆向传播算法训练的多层前馈神经网络，是应用最广泛的神经网络。(BP (back propagation) neural network is a kind of multilayer feedforward neural network which is trained according to the error back propagation algorithm. It is the most widely used neural network.)

Monte-Carlo simulation for Critical Path Method, implemented in MATLAB. Uses criticalpath.m library, available for download as well. Function: calculate project length and standard deviation.