GridCODE

pca程序编辑的源码 选择性的使用 注意相关条件(matlab code about programmer)

说明：  语音识别动态时间归正全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(Reformed voice recognition dynamic time the whole process of matlab program, run the test to the result, I hope helpful for you, only then it did not point out what their own bottom pressure, the hum)

压缩感知MATLAB经典工具箱 求解L1范式(Compressive sensing Matlab toolbox )

matlab demo about reinforcement learning

完整的谱聚类运算过程，使用了杰卡德相似系数求取相似性矩阵。(Complete spectral clustering process)

matlab小波分析程序，使用拉亚普诺夫指数的公式，是本科毕设的题目，验证可用，可实现对二维数据的聚类，实现典型相关分析。(matlab wavelet analysis program, Raya Punuo Fu index using the formula, The title of the commercial is undergraduate course you Verification is available, Can realize the two-dimensional data clustering, Achieve canonical correlation analysis.)

对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 (bayesian filtering methods, such as EKF, UKF, PF and UPF, etc., based on these methods structure The building of the framework, of their performance test and comparison, and the nonlinear environment, discussed the characteristics of these methods, the simulation results show that the nonlinear non-gaussian environment, UPF party The performance of the method is the best. )

matlan语言编写的加入白噪声后的地震加速度记录。(matlan language added white noise earthquake acceleration records.)

模糊PID—模糊控制程序。适合刚入门的模糊控制学习的同学们，方便理解！(Fuzzy PID-fuzzy control procedures. Fuzzy Control for just getting started learning of the students, to facilitate understanding!)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)