hypernetworks

源码Book_253919STEWARDESS 265877是一个不错的源码，用来学习参考会是一个不错的选择(Source Book_253919STEWARDESS- 265877 is a good source, used to study the reference would be a good choice)

本文介绍如何搭建基于linux的动态网站开发平台。对Linux系统、MySQL数据库、Apache、PHP和Samba服务器的相关知识及安装配置做了介绍。我们将使用MySQL搭建免费的数据库服务器，使用Apache（世界上最流行的web服务器，60％的网站运行着Apache）和PHP构建动态网站，使用Samba服务器实现网站程序的快速开发。 -err

推箱子游戏是一个在turboC2环境下编写的小游戏，该类游戏版本很多，希望不会雷同-magazines is a game in turboC2 environment prepared by the small games, many versions of such games, hope not identical. .

java写的手机小游戏，黄金矿工2，附带源码。(Written in Java mobile phone games, 2 gold miners, with source code.)

sistema de biblioteca hecho en c#

拼图游戏希望对学习vc++的网友们有些帮助或是对做毕业设计的人们有些小小的帮助-Jigsaw puzzle would like to learn vc++ The users some help or a graduation project for people to do some small help

运用启发式算法中的蚁群算法解决TSP（旅行商问题）(Using Ant Colony Algorithm to Solve Traveling Salesman Problem)

说明：  CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

matlab 16 qam 调制的代码。将调制信号先分成IQ两路，再进行信号的调试。(Matlab 16 QAM modulation code. The modulation signal is first divided into two IQ paths, and then the signal is debugged.)

一个关于BPSK误码率仿真的程序，其中包括信号产生，加入高斯白噪声，和误码率计算！-One on BPSK BER simulation procedures, including the signal generated by adding Gaussian white noise, and bit error rate!