caculation

matlab遗传算法，matlab遗传算法程序，45666011matlab遗传算法程序(matlab genetic algorithm, matlab genetic algorithm program, 45666011matlab genetic algorithm program)

matlab中wash码的仿真及相关性分析(wash)

Extended kalman filter for Van der Pol system

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.)

说明：  2代小波示意程序 2维小波变换经典程序 Daubechies小波基的构造 采用多孔trous算法(undecimated wavelet transform)实现小波变换 平移变换平移法(cycle_spinning)消除gibbs效应 提升法97经典程序 消失矩作用的程序 小波插值与小波构造 小波滤波器构造和消噪程序 小波谱分析mallat算法经典程序(2 Generation Wavelet indicated procedures classic 2-D wavelet transform procedures for Daubechies wavelet bases constructed using porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform translational translational transform method (cycle_spinning) to eliminate Gibbs effect of lifting 97 vanishing moments the role of the classic procedure of wavelet interpolation procedure value structure of wavelet and wavelet de-noising filter structure and procedures of small Mallat algorithm for spectral analysis of the classical procedures)

Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2 + x*exp(sin(2x)), for − 6 <= x <= 6(Implementation of the centered difference method for numerical differentiation. Evaluation of the derivative of the following functions (numerically) f(x) = 0.3x^2+ x*exp(sin(2x)), for − 6 <= x <= 6)

经典应用例子，可以供大家学习参考使用，其中大部分是验证过的(Classic application examples)

C-CMethod.m C-C法主函数，调用方式见函数体 correlation_integral.m 关联积分求解（被C-C法主函数调用） disjoint.m 将时间序列分为t个不相交的向量 heaviside.m 判断函数>0为1，<0为0 reconstitution.m 相空间重构函数 lorenz_phase.m 实验函数，用lorenz系统测试C-C法 lorenz_sim.mdl 用simulink建立的lorenz系统(C-CMethod.m CC method main function, see the body of the function invocation correlation_integral.m correlation integral solution (CC method is the primary function call) disjoint.m time series is divided into t disjoint vector heaviside.m determine the function> 0 1, < 0 0 reconstitution.m experimental phase space reconstruction function lorenz_phase.m function lorenz system test with CC method lorenz_sim.mdl established lorenz system with simulink)

受电弓激振实验程序，如果学习相关课程的同学很有可能会用得到这个程序，很有用。(Pantograph exciting experimental procedure, if learning courses students are likely to use to get this program useful.)

PCA based face recognition