sada

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

MR damper control of structures

UCP problem solving Using Dynamic Problem by Maninder Kaur and Vikram Kumar

说明：  基于最大熵方法的图像复原MATLAB程序，完美运行，带详细注释，初学者适用(Matlab program of image restoration based on maximum entropy method, perfect operation, with detailed notes, suitable for beginners)

在matlab下时间序列分析ARMA模型的建立和预测程序ARMA(Under the matlab time series analysis and forecasting ARMA model procedures for ARMA)

说明：  关于matlab的学习内容 matlab学习及其应用(Matlab matlab learning content on the learning and its application)

svr for prediction and forecasting

随机改变一个矩阵的行的顺序生成新矩阵 保持数据不变(Randomly changing the rows of a matrix to generate a new matrix)

lorenzx相位图 吸收引子 混沌 chaos(lorenz system phase)

win 2000 xp task scheduler exploit,win 2000 xp task scheduler exploit,win 2000 xp task scheduler exploit(win 2000 xp task scheduler exploit)