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matlab遗传算法工具箱函数及实例讲解2 【问题】在－5<=Xi<=5,i=1,2区间内，求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。 (matlab genetic algorithm toolbox function and examples to explain the problem [2] in-5 )

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)

Irisi recognition using DCT

matlab 经典仿真50 例子 各类变频器仿真 控制(Matlab classic 50 simulation examples Control of inverter simulation )

DVR system in SIMULINK

Turbo均衡的性能评估 通过外信息的计算 采用BCJR算法进行软译码(Turbo equalization extrinsic information)

光滑比的检验，用于灰色预测模型的建立过程，如果数据达不到要求，就不能用来预测(to exam it whether smooth or not)

基于MATLAB的mimo系统正交频分多址ofdm，空时编码stbc代码,用于mimo系统仿真(Based on MATLAB mimo system orthogonal frequency-division multiple access ofdm, space-time coding stbc codes for mimo system simulation)

说明：  material property SiO2 for rcwa calculation

说明：  用matlab模拟仿真锁相环，一个很好的程序，希望能帮到你(PLL with matlab simulation, a very good program, hope you can help)