精心打造的代码库

说明：  本代码采用python语言编写的的一个LSTM时间序列来预测销量(This code uses a LSTM time series written in Python language to predict sales)

基于Python-opencv实现动作和人脸的检测与识别，通过获取关键点来识别人体动作

说明：  利用python实现的基础bp神经网络，未使用tensorflow，按照原理自主实现(The basic BP neural network implemented by python, without tensorflow, is implemented autonomously according to the principle)

说明：  人工蜂群算法 算法 用户均衡模型 frankwolfe算法(Artificial Bee Colony Algorithms User Equilibrium Model Frankwolfe Algorithms)

说明：  通过模型决定系数完成支持向量机参数优化，并建立基于大数据的支持向量机模型实现回归拟合(The parameters of SVM are optimized by the coefficient determined by the model, and the regression fitting is realized by the support vector machine model based on big data)

说明：  Predicting concentration value using the soft vector machine

heft algo

nao机器人打高尔夫,指令盒版实现nao机器人识别小球和打击动作(nao robot play golf(behavior boxes version))

说明：  交通网络中的流量调控使用复杂网络中的级联失效模型(Traffic Control in Traffic Network)

利用LSH算法在图片数据库中搜索与目标图片最相似的图片.hash思想在图像检索种的应用。(LSH picture database using the search algorithm with the target image most similar images. Hash kind of thinking in image retrieval applications.)