Antenna

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.)

modelling and integration of grid connected pv systam.

Classification MatLab Toolbox

matlab方面讲的比较清楚，大家都来下下，很不错的哦。原理与工程应用(book about matlab)

PCA(Principal Component Analysis)预处理和最近邻分类程序(the code of Principal Component Analysis)

模糊控制系统的例子，易于学习，简单实用，方便(fuzzy controler)

网上的Kalman滤波数据融合示例，此处的特点是添加了详细的注释，并且为了更容易理解和顾名思义，对部份变量和函数名作了修改，使得非常易懂。(An example of Kalman filtering data fusion on the Internet! Detailed annotations are added and some variables and function names are modified to make them easy to understand.)

Laurent分解是一种对连续相位调制信号的在数学上的推到，能够严格重构CPM信号(Quotient is a value that is a value of a value that is a value of a value that is a value of a value that is a value of a value that is a value of a value that is a value of a value that is a value of a value that is a value of a that is a value that is a value for a that is a value that is a value for a value, U591F u4E25 u683C u91CD u6784CPM u4FE1 u53F7)

matlab仿真两种目标类型在积累和不积累下的情况(matlab simulation of two target types accumulation and accumulated under)

粗糙集数据初处理。。。。将连续数据离散化