zuoye

数据拟合在matlab环境下的gui中进行设计，显示拟合系数和拟合图像。(Data fitting in the gui in matlab environment design, display fitting coefficients and fitting the image.)

matlab GUI的设计，具体的文档，图文并茂，比较容易学习(Matlab GUI design, specific documents, pictures, and relatively easy to learn)

MD5 encryption and decryption by srp

运用自相关法，周期图法和burg法分析加噪信号功率谱并比较(The use of auto-correlation method, periodogram analysis burg and noise signal power spectrum and compare)

基于粗糙集的特征选择Matlab源程序。(Feature selection based on rough set.)

Coordinate Transformation between several frames of reference, developed in MatLab

基于模糊连接度的道路提取源码 基于模糊连接度的道路提取源码 (Source of road extraction based on fuzzy connectedness)

在Viusal Basic6.0中，通过DDE方式，实现与MATLAB的通讯。无论在VB操作数据库应用、控件的使用、MATLAB的图形操作方面，对初学者来说都是难得的典范。(In Viusal Basic6.0 through DDE way communication with MATLAB. Operation in VB database application, the use of controls, MATLAB graphics operation, for beginners is a rare example.)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

matlab支持向量机回规界面，操作简单，使用方便(Matlab Support Vector Machine to back regulatory interface, simple operation, easy to use)