shenjinwangluoyuce

gui界面，读取xlsx中特定sheet，sheet中最后一列为y，前n列为x1-xn，线性拟合为y=b0+b1x1+...+bnxn，显示公式和残差的标准差(The GUI interface reads the specific sheet in xlsx, the last row in sheet is y, the former n is x1-xn, and the linear fitting is y=b0+b1x1+ (+bnxn), showing the standard deviation of formula and residuals.)

is a program which counts the number of primes between 1 and N.

关于MATLAB中图像旋转等内容的一些实例，很有用。(On MATLAB, image rotation, etc. are some examples, very useful.)

opencv的canny函数检测边缘的效果和matlab的不同 matlab的边缘更为细腻 (opencv canny edge effect and matlab function testing different- the edges of the matlab is more exquisite )

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

Filtros Ma t lab trae varios filtros para series de tiempo

FOR HELP AND DOCUMENT FOR POWER ROBO SOCCER

变刚度单元有限元计算的单元刚度矩阵和等效结点荷载矩阵(The finite element calculation of variable stiffness element stiffness matrix and equivalent nodal load matrix)

用于二维平面的闭合曲线三次插值，通过给定的几个坐标点，完成闭合曲线的三次插值函数(Closed curve cubic interpolation for two-dimensional plane, through a given number of coordinate points, complete the closed curve cubic interpolation function)

Raghuraj 与 Lakshminarayanan提出了基于特征值内相互关系建立预测模型,用于识别的模式识别方法——多变量预测识别模型（Variable Predictive Mode Based Class Discriminate, VPMCD）,并应用于生物学的模式识别中。VPMCD利用参数估计来建立预测模型，极大地减少了计算量，缩短了模型的训练时间。vpmcd5_revise为主函数，sec2_5_revise为训练函数(Variable Predictive Mode Based Class Discriminate, VPMCD)