精通Matlab综合辅导与指南(例子)

说明：  第一本编程书教你编程，一本不需要编程语言的编程书。(The first programming book teaches you to program, a programming book that doesn't require a programming language.)

这是一个和跨文化交际有关的文章，很不错，可以学习用，可以找到一些我们的缺点，出国什么都会小心了~`(This is a cross-cultural communication and the article quite good, and can learn from, we can find some shortcomings, what will be going abroad to beware )

说明：  ANSYS软件是美国ANSYS公司研制的大型通用有限元分析（FEA）软件，是世界范围内增长最快的计算机辅助工程（CAE）软件，能与多数计算机辅助设计（CAD，computer Aided design）软件接口，实现数据的共享和交换，如Creo, NASTRAN、Algor、I－DEAS、AutoCAD等。是融结构、流体、电场、磁场、声场分析于一体的大型通用有限元分析软件。在核工业、铁道、石油化工、航空航天、机械制造、能源、汽车交通、国防军工、电子、土木工程、造船、生物医学、轻工、地矿、水利、日用家电等领域有着广泛的应用。ANSYS功能强大，操作简单方便，现在已成为国际最流行的有限元分析软件，在历年的FEA评比中都名列第一。目前，中国100多所理工院校采用ANSYS软件进行有限元分析或者作为标准教学软件。(ANSYS learning files)

OGC Web Services Common Standard

Lex yac usage and programming guide

关于粒子群算法的doc文档,里面包含matlab源程序(Particle swarm algorithm on the doc document, which contains the matlab source code)

说明：  这里是一整套指纹识别的学习教程，详细讲述了指纹识别的相关知识，有这方面兴趣的朋友不妨看看！(here is a set of fingerprints to identify the learning guide, a detailed account of fingerprint identification associated knowledge, this interest is a friend to take a look!)

说明：  高压直流输电系统非线性变结构控制器的设计，仿真(HVDC nonlinear variable structure controller design, simulation)

secure communicating systems

说明：  《Python数据挖掘入门与实践》高清中文版 本书作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。本书面向愿意学习和尝试数据挖掘的程序员。("Python Data Mining Getting Started and Practice" HD Chinese version As a primer on data mining, this book introduces the basic knowledge, basic tools and practical methods of data mining. By step-by-step explanation of the algorithm, you can easily embark on the journey of data mining. This book uses a combination of theory and practice, showing how to use the decision tree and random forest algorithm to predict the results of the American professional basketball league game, how to use the affinity analysis method to recommend movies, how to use the naive Bayesian algorithm for social media mining ,and many more. This book also covers neural networks, deep learning, big data processing and more. This book is for programmers who are willing to learn and experiment with data mining.)