chap23

关于AR算法的源码资料，语言是matlab，可用于参数评估计算(matlab AR )

随机森林主函数文件，应用matlab可以进行分类处理(Random forest main function file, which can be classified by MATLAB)

雅克比迭代用于计算方程组的数值解。精度比较高。(jacobi)

这是学生成绩划分的matlab程序，简单易懂(This is the division of student achievement matlab program, easy to understand)

lorenz系统,这是第一个文件定义lorenz系统(lorenz system plot this is file 1, the lorenz system define)

非线性拟合,用于非线性拟合时，可以用这个现成的代码，很发方便！(Nonlinear fitting for nonlinear fitting, you can use the existing code, it is made ​ ​ easy!)

projection and backprojection

基于K均值的PSO聚类算法,使用matlab实现智能预测控制算法，数据模型归一化，模态振动。( K-means clustering algorithm based on the PSO, Use matlab intelligent predictive control algorithm, Normalized data model, modal vibration.)

此为《MATLAB教程》的第九章：稀疏矩阵。该书内容翔实，深入浅出，不可多得。(This is the MATLAB Guide in Chapter IX: sparse matrix. Book is informative, easy, hard to come by.)

基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计.(based on the return of all Poles AR model of random signal of the power spectrum estimation.)