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matlab编写,eeglab软件(Matlab prepared eeglab software)

用AUTOASSOCIATEIVE MEMORY NET的方法来存1-10个数字(Write a computer program to implement an autoassociative memory net to store the following ten numbers)

说明：  用MATLAB实现支持向量机程序，有训练集和测试集，程序完整。(Using MATLAB support vector machine procedures to achieve, there are training set and test set, the program integrity.)

数据挖掘 《机器学习与数据挖掘：方法与应用》，朱明等译，电子工业出版社(data mining conclude Classification,Estimation,Prediction,Affinity grouping or association rules,Clustering,Description and Visualization,Text, Web ,et al)

利用matlab画地形图，根据各功能区的坐标。(Using MATLAB to draw topographic map, according to the coordinate of each functional zone.)

An ideal SM control operates theoretically at an infi nite switching frequency so that the trajectory follows exactly the reference track

一篇有关煤田与地震相关性的文章，希望对大家有帮助(One relating to coal and seismic correlation article, I hope to help everyone)

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

高阶滑膜时变滑膜仿真,应用于非线性控制，还有绘图程序，对状态约束更强(When high-end simulation synovial synovium becomes applied to nonlinear control, as well as a drawing program, a stronger constraint on state)

Let X1,X2,...X10 be independent uniformly distributed Random vari- ables over [0 1] andY = X1 + X2 +.....+ X10.Generate the PDF and pdf of Y(Let X1,X2,...X10 be independent uniformly distributed Random vari- ables over [0 1] andY = X1+ X2+.....+ X10.Generate the PDF and pdf of Y)