程序

VB6.0 TIMER 反调试例子源代码下载，假设这里是我们的注册过程，我们隔三差五随意将以下代码复制粘帖，实际软件中，应该彻底隐蔽这些提示消息，实际软件中，应该彻底隐蔽这些提示消息，直接引入错误的分支去执行乱七八糟的代码。

mini板子驱动sht30 显示在lcd上面(The mini board driver sht30 is displayed on the LCD)

VB动画版“关于”窗口，带拉幕和滚动字幕效果，拉幕式动画“关于“窗口，用来制作软件的”“关于”对话框之类的比较合适，打开窗口后，点击“关于本软件”后会弹出一个带滚动字幕的拉幕窗口，动画效果流畅，还可调节速度，文字由下向上滚动，背景可随机颜色。当点击“退出”时，幕布会动画合拢。拉幕的动画效果以及文字滚动效果是比较实用的VB技巧。

说明：  在葡萄酒制造业中，对于葡萄酒的分类具有很大意义，因为这涉及到不同种类的葡萄酒的存放以及出售价格，采用神经网络做为分类器可以有效预测相关葡萄酒的种类，从UCI数据库中得到wine数据记录的是在意大利某一地区同一区域上三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本分别属于三个类别(类别标签已给)，每个样本含有13个特征分量(化学成分)，将这178个样本70%做为训练样本，另30%做为测试样本，用训练样本对神经网络分类器进行训练，用得到的模型对测试样本的进行分类标签预测。(In the wine manufacturing industry, classification of wine is of great significance, because it involves the storage and selling price of different kinds of wine. Using neural network as classifier can effectively predict the types of related wine. The wine data recorded from UCI database is the chemical composition of three different kinds of wine in the same region of Italy According to the analysis, 178 samples in the data belong to three categories (the category label has been given). Each sample contains 13 characteristic components (chemical components). 70% of the 178 samples are used as training samples, and 30% are used as test samples. The training samples are used to train the neural network classifier, and the model is used to predict the classification label of the test samples.)

一个用java写的手机游戏-五子棋,界面做的欠缺了点.-a written using java mobile phone games- 331 interface so the lack of points.

说明：  主要用伪码写的，算法第三章，可以参考一下，很好改成C++(Mainly written in pseudo code, algorithm 3 Chapter, you can refer to, very good to change to C++.)

石器时代2.5源代码 适合自己研究 有兴趣的朋友可以自己看看(Stone Age 2.5 source code suitable for their own research interested friends can see for themselves)

some examples of opencv

使用空间前方交会求取参数，注释很全，适合学习摄影测量的新手。(Using spatial forward intersection to get parameters, the annotation is very complete, suitable for learning photogrammetry novice.)

说明：  fpfh MATLAB实现DDDDDDDDDDDDDDDD(may this code help to you)