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i have uploaded a matlab code on MAX-MIN algorithm

report having matlab code

将基于最大峰值和ＪＡＤＥ盲分离算法相结合的一种盲分离算法．(Will be based on the maximum peak and the JADE algorithm for blind separation of a combination of blind source separation algorithm.)

说明：  ％code2_1 for lecture 1 Simpson s rule ( Code2_1 for lecture 1 Simpson s rule)

基于监督学习的一种非线性数据降维方法，可以很好地将低维特征从其所在的高维流形中提取出来，用于数据分类。(A nonlinear data dimension reduction based on supervised learning method, is a good way to the lower dimensional feature extracted from its place of higher dimensional manifold, used for data classification.)

matlab/simulink环境下仿真的异步电动机矢量控制，运行良好，基础系统，可供初学(matlab/simulink environment simulation of induction motor vector control, runs well, base system, for beginners)

LU Method案例，主要是以matlab軟件來運算標準題型。 (LU Method cases, mainly matlab software to compute the standard questions.)

对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为 (7.90) 式中， 为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个； (Model identification of two order systems with stochastic noise)

海杂波模拟和循环对消法实现杂波抑制的matlab源程序,包含不同信噪比下的目标回波以及最小二乘实现的滤波器完成杂波抑制(Sea clutter modeling and cycle cancellation method for clutter suppression matlab source code, including different target echo signal to noise ratio as well as the least-squares filter to achieve complete clutter suppression)

这个说明倒不是说明函数的功能，只是声明一下函数中出现的问题。 shortest()函数没有问题，在secshortest中我希望只得到一条次短路（或几条roadcost()值相同的次短路），结果却出来好几条，我仔细检查了一下程序，应该没有什么问题。 因此在使用时，要得到次短路，只能用roadcost()函数分别求一下各条路的权重和，找到最小的。 有些奇怪 (Note that this is not the function of function, but a statement about the problems in function. shortest () function there is no problem, I hope that in secshortest only a short time (or several roadcost () times the value of the same short-circuit), the result is several out, I carefully examined the process, it should be no problem. Therefore, in use, to be at a short circuit can only be used roadcost () function, respectively, for some of the weight of the road and find the smallest. Some strange)