classification

说明：  本程序是遗传算法求极值,有助于对遗传算法的理解(This procedure is a genetic algorithm for extreme value, contribute to the understanding of the genetic algorithm)

某统计局欲了解第三产业总产出、中间消耗、增加值、劳动者报酬、生产税净额、固定资产折旧、营业盈余之间的关系，根据下面给出的数据建立相应的模型并进行分析，同时又因为变量数目过多影响对其的综合分析，要求对他们进行主成分分析；(Bureau of Statistics For a third of total industrial output, intermediate consumption, value added, workers compensation, production, net of tax, depreciation of fixed assets, the relationship between the operating surplus, in accordance with the following data given by the model and the corresponding analysis, at the same time, because too many variables affect the number of comprehensive analysis of its request for them to carry out principal component analysis )

说明：  经典卡尔曼滤波器代码。对初学者十分有帮助。(Classic kalman filter code, for beginners introduction is very helpful.)

功能化一个输入向量利用Savitzky-格雷平滑滤波器的基础上一定程度的多项式的长度和移动窗口(The function smooths a input vector using Savitzky-Golay smoothing filter based on the degree of polynomial and the length of moving windows )

伺服系统的非线性PID控制，PID-即比例、积分和微分控制，在自动控制系统里有着非常广泛的应用。(Nonlinear PID Control for a servo system)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

用MATLAB编写的实现ADABOOST算法的程序，包括级联分类器的设计。(matlab reality adaboost with cascade classifier)

采用聚类方法进行分群的方法，包含两个matlab文件，一个是需在程序中给定数据，一个使用excel给出数据。针对风电场分群构建，也可以用于其他的聚类分群场合(Clustering method using clustering method matlab contains two files, one is required in the program given the data, a given data using excel. For wind farm constructed grouping, clustering can also be used for other occasions grouping)

this is a pdf book talking about matlab and its benifits for developpment and encountering new specifications in object tracking

模拟退火算法解决作业车间调度jobshop问题，以FT06问题为例说明，可产生甘特图，JSPmain是主函数。(Simulated annealing algorithm to solve the job shop scheduling jobshop problem to FT06 problem as an example, can produce a Gantt chart, JSPmain is the main function.)