FNN

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1. 按照式计算相似性矩阵 2. 排除自身的相似度 3. 按照式计算归一化矩阵 4. 按照式计算归一化拉普拉斯图矩阵L 5. 计算L的特征向量，将前个特征值最大的向量按列放置成一个矩阵，即依次为前个特征值最大的特征向量 6. 归一化X形成矩阵Y 7. 对矩阵Y按每行为一个数据点，进行k-means聚类，第行所属的类就是原来所属的类。(1. similarity matrix based on formula computation 2. rule out your own similarity. 3. normalized matrix based on formula computation 4. normalized formula Laplasse matrix L according to formula. 5. Calculate the eigenvectors of L. Place the vectors with the largest eigenvalues in columns into a matrix, that is, the eigenvectors with the largest eigenvalues in turn. 6. normalized X formation matrix Y 7. K-means clustering is applied to matrix Y according to one data point per behavior. The first row belongs to the original class.)

说明：  计算高斯-勒让德求积，直接调用函数即可。(Calculate the Gauss-Legendre quadrature.)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

给定威布尔函数的lambda和k，直接绘制其累积概率的图。(A given weibull function of lambda and k, directly map the cumulative probability.)

Genetic Programming Toolbox

雷达最大探测距离，包括雷达参数，雷达最大探测距离的计算公式。(calculation of radar maximal detect distance)

颜色特征HSV模型，用pca降维，已经测试成功(pca dimensionality reduction)

说明：  络检波法，也可以用同步解调法，现在我们来使用同步解调法，即将已调信号和一个与载波信号同频率的信号相乘，在通过一个理想低通滤波器就可以得到原始信号(Envelope detection method, you can also use synchronous demodulation method, and now we use synchronous demodulation method, is about modulated signal and a signal is multiplied with the same frequency of the carrier signal, through an ideal low-pass filter can get the original signal)

This CD contains examples and data files for the homework assignments in the November 14, 2004 draft of Parameter Estimation and Inverse Theory.