SQP????3?

非线性SVM分类器，可以很好的将两类划分开(Non-linear SVM classifier, can be very good by the two open)

无刷直流电动机的滑模变结构控制程序－采用变速PVC策略 (brushless DC motor SMVSC control procedures-using variable speed PVC strategy)

MIMO 最优天线选择算法，即穷举搜索方法(Optimal MIMO antenna selection algorithm,is also the exhaustive search method)

TIG-B系列逆变式直流氩弧焊机故障排除(TIG-B Series inverter DC welding machine troubleshooting)

说明：  神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例(Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application)

说明：  关于数字水印的一些代码 基于离散余弦变换 (on digital watermarking code based on the Discrete Cosine Transform)

对于常微分方程组，很难求得解析解，因此工程上常用数值解法，常微分方程组的R-K解法(For ordinary differential equations, analytical solution is difficult to obtain, so the numerical method used on the project, RK solution of ordinary differential equations )

可以将TS流中的PES信息内的PTS位置标定(TS stream can be within the PTS PES position calibration information)

M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:ceshiyuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:ceshilogistic_nuaa64.bmp ) figure imshow(J) xlabel( 水印图像 ) 嵌入水印 tem=1 for p=1:N for q=1:N x=(p-1)*K+1 y=(q-1)*K+1 BLOCK=I(x:x+K-1,y:y+K-1) BLOCK=dct2(BLOCK) if J(p,q)==0 a=-1 else a=1 end BLOCK(2,1)=BLOCK(2,1)*(1+a*0.01) BLOCK=idct2(BLOCK) I(x:x+K-1,y:y+K-1)=BLOCK end end 显示嵌入水印后的图像 figure imshow(I) xlabel( 嵌入水印后的图像 ) imwrite(I, f:ceshiembedded.bmp )

SVM(支持向量机)，二分类，多分类，多分类一对一，多分类一对多训练及测试matlab代码(SVM two classes muticlasses mutioneagainstone mutioneagainstall matlab code)