fuzzy_manupulator

说明：  一种铅酸蓄电池模型 可以充电和放电 可以自己调节充电电压的(a model of battery)

MATLAB coding for 16 QAM is given

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.)

Jakes模型对衰弱信道进行仿真 在仿真时，先定义一个模型，再在主函数中调用这个模型，下面是主函数的程序(Jakes model debilitating channel simulation)

说明：  开发环境:MATLAB 简要说明:基于MATLAB的显示误差递变的线性神经元源程序(development environment : MATLAB Brief Description : Based on MATLAB error shows the linear movements of neurons source)

一种harris的改进方法，值得借鉴，一篇很好的参考论文！(Harris an improved method, is worth learning, a good reference paper!)

Plotting graphics Real Gas Van der Waals using MATLAB From Jogja to World

cuk电力matlab 仿真，已经调试通过了，谢谢(cuk power matlab simulation, debugging has been passed, thank you)

一个航天器的动力学响应程序，采用模态价值分析准则和内平衡法则进行模型降阶。(Dynamic response of a spacecraft program, the use of value analysis mode within the balance guidelines and rules for model reduction.)

Mobile networks management