TOPSIS评价方法

说明：  深度信念网络程序详解，可以实现数据回归和分类，自动提取关键成分。(Detailed explanation of deep belief network program can realize data regression and classification, and automatically extract key components.)

cnn 分类 一维 信号分类 模型简单适合新手，效果一般(Cnn classification One-dimensional signal classification The model is simple for beginners, the effect is average)

说明：  实现了遗传算法，对每一部分有详细的注释，亲测可用(The genetic algorithm is realized, and each part is annotated in detail, which can be used in pro test)

说明：  coremail邮件系统企业通讯录导出脚本(Coremail Mail System Enterprise Address Book Export Script)

很多同学在学习人工智能或者数据挖掘的时候都会遇到kmeans算法，因为这是最基础的算法。这里上传phthon的代码，绝对可用

说明：  有关于D2D通信中，信道仿真的编程是基于python语言的。(Programming for channel emulation in D2D communication)

使用SVM算法对CIFAR-10图片数据集进行分类，包括模型的训练，测试和参数的调优(Using SVM algorithm to classify CIFAR-10 image data sets, including model training, testing and parameter tuning)

Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)

实现Lagrange,Hermite,以及分段线性插值算法,需要用from * import *引用,如要使用lagrange, from lagrange import lagrange(Realize Lagrange, Hermite, and piecewise linear interpolation algorithm, need to quote from* import*, such as to use lagrange, from lagrange import lagrange)

说明：  Pytorch-Deep-Neural-Networks-master