CTLib_D7

说明：  小巧的天气预报实时显示系统，采用GDI+技术开发，实现了基本且简单的功能，能在图片上实时显示温度/气温等天气预报情况，并能进行数据的维护更新。小巧的天气预报实时显示系统，采用GDI+技术开发，实现了基本且简单的功能，能在图片上实时显示温度/气温等天气预报情况，并能进行数据的维护更新。(compact real-time weather display system using GDI technology development, achieve the basic and simple functions, in real-time pictures show that the temperature/weather conditions such as temperature, and for the maintenance and update of data. The compact, real-time weather system, using GDI technology development, achieve the basic and simple functions, in real-time pictures show that the temperature/weather conditions such as temperature, and for the maintenance and update of data.)

通过引用redis基础类库，实现对redis的读取和写入操作。例子比较初级。(By referring to the redis base class library, we can read and write redis. The example is more elementary.)

基于labwindows/cvi的相关程序,数据库的相关操作(Based on labwindows/cvi-related procedures, database-related operations)

sqlite数据库C源码接口程序,通过此程序可以创建,修改和删除SQLITE数据及数据(sqlite database C source interface program, through this process can create, modify, and delete data, and data SQLITE)

project 2 - C++ - database system - programming assignment

说明：  此压缩文件包含2002年-2017年200多个地级市资本存量的数据，里面有详细的计算过程与说明。(This document contains the capital stock data of more than 200 cities in 2002-2017, including detailed calculation process and description, which is convenient for scholars to understand and master)

说明：  基于powerbuilder的报时源代码，适合初学者学习使用(Learning source code)

VB编写的退税管理系统，可做毕业设计参考，很适用！(VB prepared the tax rebate management system, can be graduated from the reference design, it is applicable!)

基于VFP的出题小系统，以前做的，传上来分分享一下(Test system based on VFP, before doing, Chuan up points to share)

1. 采用BP神经网络设计男女生分类器。采用的特征包括身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征，BP神经网络包含一个隐层，隐层结点数为5。要求：自行编写代码完成后向传播算法，采用交叉验证的方式实现对于性能指标的评判（包含SE,SP,ACC和AUC，AUC的计算可以基于平台的软件包）。(. using BP neural network to design the classifier for male and female students. The features include height, weight, whether they like mathematics, whether they like literature, and whether they like sports. The BP neural network contains a hidden layer, and the number of hidden nodes is five (5). Requirements: self compiled code, post propagation algorithm, cross validation method to achieve performance evaluation (including SE, SP, ACC and AUC, AUC calculation can be based on platform software package).)