麻将AI

说明：  这个是自己实现的独立级联模型、线性阈值模型简答实现。(Independent cascade model and linear threshold model are realized.)

说明：  BP神经网络实现的鸢尾花数据分类，比较基础 入门学习(Iris data classification based on EM series multi beam allbp neural network)

说明：  使用鸢尾花数据集，预测鸢尾花种类。并随机选取100个样本作为训练数据，剩下50个作为测试数据。设置输入层四个神经元，接收输入的四个向量数据。设置一层隐含层，使用sigmoi激活函数，此问题为三分类问题，输出层激活函数使用sigmoi函数，神经元个数设置为3个，本类别输出1，其余类别输出0。(Iris, using data sets to predict Iris species. 100 samples were randomly selected as training data, and the remaining 50 samples were used as test data. Four neurons in the input layer are set to receive the four vector data. Set a hidden layer and use the sigmoi activation function. This problem is a three classification problem. The output layer activation function uses the sigmoi function. The number of neurons is set to 3. This category outputs 1 and the other categories output 0.)

The module can optionally operate with a private cache that understands the Cache-Control: header and uses both the ETag and Last-Modified cache validators. Both file system and memcached based caches are supported. (Automatically adds back ETags into PUT requests to resources we have already cached. This implements Section 3.2 of Detecting the Lost Update Problem Using Unreserved Checkout)

说明：  开发一个培训收费网站的代码文件，供大家参考学习(code sampleb for a web service ,just like learning)

nao机器人软银杯比赛代码，希望对大家有所帮助。(Nao Robot Soft Silver Cup Competition Code)

在有限元相关软件中，施加平面的周期性边界条件，二次开发(Applying Periodic Boundary Conditions to Planes)

基于C++和Python利用opencv实现人脸检测和微笑检测

说明：  实现了贪吃蛇小游戏功能，没有使用pygame模块(Realize the function of greedy Snake game)

说明：  使用xgboost对发电机进行回归预测，速度更快，精度更高(Use xgboost to perform regression prediction on generators, which is faster and more accurate)