QT及QT QUICK开发实战

高仿版扫雷，具有系统自带的几乎所有功能，是学习交作业必备代码。 High imitation version of Minesweeper, the system comes with almost all the features of homework is to learn the necessary code

用 Visual C++.Net (VC.net) 编写的如何创建一个 弹出式菜单 的演示程序，在Visual C++.Net 2003下运行正常。程序很简单,注释详细。为初学者学习交流使用。有需要的朋友可以下载看看！(Using Visual C . Net (VC.net) prepared in how to create a pop-up menu of the demo program in Visual C . Net 2003 to run normal. The procedure is simple and detailed notes. Learn to use for beginners. In need of a friend can download to see!)

关于中国邮递员的解决办法，个人觉得还不错的说(Chinese postman)

神经网络源代码,及BP网络训练界面,其中的L-M算法非常实用-neural network source code, and BP training network interface, the L-M algorithm is very practical

说明：  拓扑排序 　 对一个 有向无环图 G进行拓扑排序，是将G中所有顶点排成一个线性序列，使得图中任 意一对顶点u和v，若u，v ∈E，则u在线性序列中出现在v之前。 　 通常，这样的线性序列称为满足拓扑次序的序列，简称 拓扑序列 。 注意： 　 ①若将图中顶点按拓扑次序排成一行，则图中所有的有向边均是从左指向右的。 　 ②若图中存在有向环，则不可能使顶点满足拓扑次序。 　 ③一个DAG的拓扑序列通常表示某种方案切实可行。 (Topological sort In a directed acyclic graph G topological sort, is all vertices will G formed a linear sequence, make diagram post Meaning a pair of vertex u and v, if u, v ∈ E, then u in linear sequence in which they appear in v before. Usually, such linear sequence sequence of topological order called meet, abbreviation topology sequence. Note: (1) if the diagram according to the topology order line vertices, then figure all from left to right edge are pointing. (2) if the figure to exist in the ring, is impossible to have the vertex meet topological sequence. (3) a DAG topological sequence usually expressed some scheme is feasible. )

说明：  VC6.0编译运行，可以缩放控件的大小，一个界面编程的例子。(VC6.0 compiler run, and zoom controls the size of an interface programming examples.)

This is a generic timer c code. Useful for detecting timeouts in embedded development. Some hardware timer irq must call its Tick function.

说明：  可以连续播放多帧图片，并对图片进行相应的处理(Playing for multi-frame image, and image processing accordingly)

适用于STM32F410RB  Nucleo的话可以直接把TFT1.8 的屏幕插在 右上方的adruino的口上， A0,A1是IIC的 SDA和SCL。 滤波采用互补滤波。

说明：  q学习算法的C语言源代码，用在机器人探索未知环境的实例，关于rewards和环境的描述均有注解(q-learning algirethem)