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KNN是一种有效的模式识别分类算法，本文件在Matlab平台实现KNN算法在模式识别中的运用。(KNN is an effective pattern recognition classification algorithms, this document is in the Matlab platform implementation KNN algorithm in the application of pattern recognition.)

以Matlab为应用，比较详细地介绍了如何画波特图的一些例子。(Examples on Bode Plot.)

改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。(Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density distribution and appropriate, a more balanced distribution of the edge.)

数值计算中的Euler法相关的matlab源程序(Numerical calculation of the Euler method related to matlab source)

Implement chip controller for a composite microgrid.

凸优化matlab工具箱cvx使用实例,自适应波束形成,斯坦福大学凸优化大牛S.Boyd编写(matlab toolbox for convex optimization ,written by S.Boyd from Stanford University)

PV模块的通用建模，有效的仿真结果和简明的程序设计(the modelling of general PV solar cell)

假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维(false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction)

将DE405数据文件转换为Matlab的.mat文件的函数，方便Matlab的读取(DE405 data file is converted to the Matlab MAT file function to facilitate the Matlab reads)

最先提出深度学习算法hinton的自动编码器matlab代码，内容是：利用多层rbm进行自动编码的多层特征训练，然后使用梯度算法进行fine turn。可以进行特征提取，也可以进行分类。压缩包里已带有训练用签字图片数据。相应算法说明可以查看hinton于2006年发表在 science的文章(First proposed deep learning algorithm hinton automatic encoder matlab code that reads: multilayer rbm automatic encoding multi-features of the training, and then use the gradient algorithm fine turn. Feature extraction can be classified. With compression bag has been training with the signature image data. Note You can view the corresponding algorithm was published in 2006 in hinton science articles)