SIMULINK仿真模型

转至《手机游戏开发》上的一个RPG游戏例子，希望对初学者有帮助。-Go to the " mobile game development" on the example of an RPG game, want to be helpful for beginners.

说明：  多项式拟合在matlab中可以使用ployfit函数求解多项式系数，通过ployval函数求解拟合多项式在某数据点处的值(Polynomial and Non-polynomial Curve Fitting)

平均场强化学习源码，acml2018年最新的研究成果，强化学习必备(Mean field reinforcement learning source)

MFC编写的RS232 Demo,可供新手借鉴，VS可直接运行。(MFC RS232 Demo)

说明：  arduinoIDE中的DHT11库文件(DHT11 library file in arduinoide)

Yet another Java implementation for the addictive Minesweeper game. This game comes with a number of options unavailable in Windows s version, such as allowing more than one mines in a square. -Yet another Java implementation for the addictive Minesweeper game. This game comes with a number of options unavailable in Windows s version, such as allowing more than one mines in a square.

说明：  (1) 加减数和被加减数的输入位数为1-4位； (2) 相加结果显示要考虑进位的输出显示（即5位输出）； (3) 注意对“0”—“9”、“+”、“＝”以外按键输入的处理； (4) 注意对相加结果进行十进制处理； (5) 输入加数和被加数时，显示器上显示的数字要像平时用的计算器输入一样，即：每输入一个数字，原来显示的数字要往左移； (6) 可以完成累加功能。((1) The input digits of the additions and subtractions and the additions and subtractions are 1-4 digits; (2) The additive result shows that the carry output display (i.e. 5-bit output) should be considered. (3) Attention should be paid to the processing of keyboard input other than "0"-"9", "+" and "="; (4) Attention should be paid to decimal processing of the additive results. (5) When the additive and the additive are input, the number displayed on the display should be the same as that input by the usual calculator, that is, every number input, the original number displayed should move to the left; (6) Accumulative function can be completed.)

Visual C++实现视频编码中的YUV到RGB转换并显示(Visual C++ implementation of YUV video coding to RGB conversion and display)

计算每年二十四节气的具体时间，自己搞的代码，亲测可用(Calculate the specific time of the 24 solar terms each year. Make your own code and test it personally.)

《Python数据挖掘入门与实践》 本书为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和随机森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。(Introduction and Practice of Python Data Mining)