work-TA-Final

图像模板匹配算法用MATLAB来试验，有例子大家可以看看，有上占还不完好，有能力的自己改改(Image template matching algorithm using MATLAB to test, there are examples we can see, there are not well accounted for, the ability of their changed)

最新的matlab命令集合。搜集了网上的大部分(The latest collection of matlab commands. Collected most of the Internet)

说明：  svr源程序，输入到matlab中进行svr回归模型建立与分析(SVR source program, input into matlab SVR regression model establishment and analysis)

this document is a useful materials which could be used to solve the two phase flow

this is file .m that can be run at matlab

这是一段用于谱分析算法中的求蝶形算子的 子程序，此程序采用C语言编写，移植性比较强(This is a period for the spectral analysis algorithm for the subroutine butterfly operator, this procedure using C language, the transplantation of relatively strong)

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)

matlab 计算发动机点火提前角的实验计算程序(Matlab, the advanced ignition Angle of experimental applications)

非线性整数规划的遗传算法Matlab程序

The first scheme is based on the spatial locality of feature vectors corresponding to similar images. Learning is effected by modifying the query vector to incorporate the positive examples. The second scheme is based on “distorting” our view of the feature space. An new similarity distance between an image and the query is learned from the relevance feedback.