chap1_8s

LMS滤波算法的matlab实现，有注释(LMS filtering algorithm)

一阶AR模型使用LMS算法，使用M=2，M=3两种滤波器，步长已选择(A first-order AR model uses the LMS algorithm, M = 2, m = 3 two filters, the step size has been selected)

转弯模型的IMM程序，包括3个模型，CV和CT模型，并通过kalman滤波进行定位跟踪(Turn model the IMM program m file, including the three models, CV and CT model and positioning tracking kalman filtering)

Latex is a software for publishing, text editing of research papers, publications, and thesis.

模拟退火算法的详细讲解，基本的matlab代码实现，入门必需(Explain in detail the simulated annealing algorithm matlab code basic, entry required)

说明：  方向导数和梯度的概念和基本公式，里面有具体的讲解(Directional derivative and gradient of the concepts and formulas, which have specific explanations)

全面分析机械类个企业的经济效益，以一家公司的盈利额为研究对象，选择了8个不同的利润指标，14企业关于这8个指标的统计数据如下表所示，试进行主成分分析。(Comprehensive analysis of the economic efficiency of enterprises machinery months to a company' s earnings amounted research object, select 8 different profit targets, 14 companies on these eight indicators of statistical data in the following table and try to principal component analysis.)

ann code with 2 transfer function

通过matlab代码，双向PCS控制仿真，DC-DC部分采用UHdJRnZ定功率单环控制，DC-AC采用Udc-Q解耦控制，系统直流电压由后级DC-AC实现稳定控制，trNkGDT参数合适 ( Through the matlab code, two-way PCS control simulation, DC-DC part of the UHdJRnZ fixed power control, Udc-Q using DC-AC decoupling control, the system DC voltage the rear stage DC-AC to achieve stable control, trNkGDT parameters suitable )

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)