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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)

利用access数据库开发的用户登录界面(User Login System design by LabVIEW)

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)

VisualBasic实现EXCEL数据的批量导入,(EXCEL data batch import to mdb based on VB)

音乐管理系统的采集数据程序可自行添加采集点,适合一些大型音乐网站数据的采集，支持采集到本地,已及盗链.(Music management system for data collection procedures can add their own collection point, for some large-scale music site data collection to support the collection to local, have been and navigating to www.sina.com.cn..)

基于C#的数据库SQLite的一些读取和写入的操作方法。包含数据库操作语句。(Some reading and writing methods of the database SQLite based on C#. The database operation statement is included.)

说明：  网络测试系统,很实用的一个源码,很有参考价值,下载试试,多学习哦(Network test systems, it is a source of practical, useful reference, download a try, more to learn Oh)

以G列分成多个工作表(以宏运行VBA) (Sub aa() Dim a As Integer, b As Integer, c As Integer, sh As Worksheet For a = 2 To [g65536].End(3).Row If Cells(a, 7) <> Cells(a- 1, 7) Then b = a End If c = Range("g:g").Find(Cells(a, 7), , , , , xlPrevious).Row Set sh = Sheets.Add(, Sheets(Sheets.Count)) sh.Name = Sheets("sheet1").Cells(a, 7).Value With Sheets("Sheet1") Sheets("Sheet1").Range(.Cells(b, 1), .Cells(c, 10)).Copy Destination:=sh.[a2] Sheets("Sheet1").Range("a1:j1").Copy Destination:=sh.[a1] a = c End With Sheets("Sheet1").Select Next End Sub )

说明：  一个Access 2007的财务管理小程序源代码～关于数据库应用的小尝试(a small test about the application of access database)

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).)