Paper-3

基于horn-schunck算法的matlab源代码；其中输入一个视频可以用这一算法计算出u和v；即在x和y方向上的速率； (Algorithm based on horn-schunck matlab source code enter a video in which the algorithm can be used to calculate the u and v that x and y directions in the rate )

小车避障 模糊控制 simulink仿真(The car obstacle avoidance fuzzy control simulink simulation)

algoritmo de minimos cuadrados

《MATLAB数值计算案例分析》，内含各种源码，运用MATLAB解决各种数值计算问题。( Case analysis MATLAB numerical calculation, containing all the source code, using MATLAB to solve a variety of numerical calculation problems.)

根据频率的不同，设置不同的滤波器，包括低通、高通、带通等(Depending on the frequency set different filters, including low pass, high pass, band pass, etc.)

Crops and non-crops image segmentation using K-MEANS clustering and then classification made by KNN classifier

求解抛物线形偏微分方程的Matlab代码(Parabolic partial differential equation of Matlab code)

说明：  面包师图像置乱算法,可以图像进行置乱处理。(a method which can resort image)

说明：  序惯最小二乘法，能够实现比最广二乘法好的结果(Sequential least square method, can achieve more than the most widely II multiplication good results)

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)