SVM

this package provides ehe fuzzy c means segmentation algorithm and its input type.. source code is also availble

function of autoassociative neural network

适用于初学matlab编程的人，可以初步掌握一些算法的应用(For beginners matlab programming, preliminary master some algorithm)

本書系統地介紹了通信建模仿真方法和模型驗證技術，並結合作者近年在教學科研中所 設計的大量基礎的和較深入的建模仿真實例，詳細討論了Matlab/Simulink 作為仿真實現平 台在電子與通信工程中應用的基本方法、技巧和難點(This book systematically describes the modeling and simulation of communication methods and model validation techniques, combined with the author in recent years in teaching and research in the design of a large number of basic and more in-depth modeling and simulation examples are discussed in detail Matlab/Simulink as a simulation platform for the realization of electronic and communication engineering application of the basic methods, techniques and difficulties)

sparse in frequency domain

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)

Matlab的动态系统建模仿真和分析教程Matlab simulation of dynamic systems modeling and analysis tutorial(Matlab simulation of dynamic systems modeling and analysis tutorial Matlab simulation of dynamic systems modeling and analysis tutorial)

matlab实现的prim算法和kruskal算法(prim and kruskal made by matlab )

说明：  lbp算法，通过课堂作业完成的 ，这个算法其实很简单，只要把原理弄明白局可以了(lbp algorithm)

改进的等维新息灰色模型，还有残差数列检验，后验差检验，模型精确好用。(Improved Innovation Gray Model，There are residual series test, posterior difference test, model accuracy easy to use. )