ABAQUS离散元脚本

这是一个基于Python和Numpy函数库的手写识别系统实现，使用了KNN（K近邻算法）进行一个手写识别的简单实现。 能对手写数字0-9进行识别分类，来推断识别，也就是说要利用sklearn来训练一个K最近邻（k-Nearest Neighbor，KNN）分类器，用于识别数据集DBRHD的手写数字(This is a handwritten recognition system based on Python and Numpy function library, using KNN (K nearest neighbor algorithm) to implement a handwritten recognition. The handwritten number 0-9 can be classified and classified to infer recognition, that is, to use sklearn to train a K nearest neighbor (k-Nearest Neighbor, KNN) classifier to identify the handwritten numbers of the data set DBRHD.)

说明：  在京东网站抢茅台，其他抢购活动也可以通用的(Grab Moutai on Jingdong's website, other snap - up activities can also be generic)

CNN训练模型，可以快速训练已有图片，下载者需自行调整文件路径即可。(CNN Training Model,It can train existing pictures quickly, and downloaders need to adjust the file path by themselves.)

 马尔科夫决策过程(Markov Decision Process)是强化学习(reinforcement learning)最基本的模型框架。它对序列化的决策过程做了很多限制。比如状态StSt和动作atat只有有限个、 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

cheverlet PIDs for OBD2 protocols

逻辑回归

说明：  采用GA、ACO分别对ANFIS和SVM进行优化，预测股市的数据(Using GA and ACO to optimize ANFIS and SVM respectively to predict the data of stock market)

这个程序可以用于两个图像的拼接，通过寻找特征点完成拼接(This program can be used to stitch two images and complete the stitching by finding feature points.)

PDF为文字版，可以复制，一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例，相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)

说明：  Lstm进行时间序列预测，预测股票数据，按日的数据(Prediction of time series by LSTM)