ApEn-approx_entropy

matlab在金融中的应用 不可多得的PPT资料(nice)

用分步傅里叶变化法求解非线性薛定谔方程，适用于非线性光纤系统(split_step_fourier method for nonlinear fiber optic)

The program deals with mixture models which gives the combinational output of the given input to the system

Mohr-Coulomb与Drucker-Prager参数转换(Mohr-Coulomb and Drucker-Prager)

说明：  关于matlab的详解以及各个命令，比较齐全(With regard to the Xiangjie matlab and various orders, a relatively complete)

说明：  用相位差法实现正弦信号的相位估计，分析snr和FFT长度的影响。(failed to translate)

用matlab所编写的30个小程序，能对刚学习matlab的同学有所帮助(Prepared with 30 small matlab program can just help students learn matlab)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

基于ＮＳＧＡ方法的多目标遗传算法程序,本程序为通用包,可自行修改.(NSGA method based on multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

通过前期统计的数字，直接求马尔科夫链的转移矩阵，很经典(The Markoff transfer matrix )