smac

说明：  蚁群算法（二维），用于求得最小路径，使用与matlab(Ant colony algorithm (two-dimensional) for finding the minimum path)

指定html站点预览图片效果 示例源码下载

关于简单的一个用户的利用SVM进行6种信号的调制识别(6 kinds of signal modulation recognition simple user using SVM)

说明：  给Iris数据集用三种方法（KNN KMEANS SVM）进行了分类(Classifying Iris datasets using three methods (KNN KMEANS SVM))

AP聚类算法，实现AP近邻聚类，代码我试了是正确的 (AP cluster method)

一个聊天的服务端源代码-a chat server source code

说明：  Win10 数字签名激活工具 数字签名激活工具(Win10 Active Tool Window 10 System Digital License Active tool)

SOCKET通信，一个服务端，一个客户端的通信。(SOCKET communications, a server, a client communication.)

本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。(This book is written by Franc_ois Chollet, the father of Keras and a current researcher on artificial intelligence at Google. It introduces in detail the exploratory practice of using Python and Keras for in-depth learning, including computer vision, natural language processing, production models and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because the book is based on the accessibility and popularity of artificial intelligence, readers need not have the background knowledge of machine learning to start reading. After learning this book, readers will have the ability to build their own in-depth learning environment, establish image recognition model, generate images and text.)

说明：  通过建立随机森林，实现大数据样本拟合回归。随机森林参数通过误差最低确定(Through the establishment of random forest, large data sample fitting regression is realized. Determination of random forest parameters by minimum error)