电力电子应用技术的MATLAB仿真

This eBook is "Random Number Generation and Monte Carlo Methods".

说明：  matlab建模与仿真带源码于群版，亲测非常全面，带书中例子和simpower使用手册(Matlab modeling and simulation)

本人参加国际会议做的一个海报，需安装PPT 2003和LaTeX，才能编辑，适合会用LaTeX的同学，不会用LaTeX的同学，可以参考一下海报设计，因为我还上传了一个图片。(Attach is a poster I made for an international conference in PPT format. One should open and eidit it in PC which Latex is also installed. For students who can not use Latex may take the design for reference, cause I also upload a Jepg picture.)

深入理解C#(中文第三版)pdf文档 带目录清晰版(C# in depth)

说明：  本书介绍Linux操作系统的基本知识、以及在Linux和其他UNIX风格的操作系统上进行程序开发。本书的主要内容包括：Linux的入门知识、使用Shell进行程序设计，Linux的管理及开发工具。Perl程序设计语言，Web程序设计(This book introduce basic knowledge of Linux operating system, as well as Linux and other UNIX-style operating systems for program development. The main contents of this book include: Linux entry knowledge, using the Shell to carry out programming, Linux administration and development tools. Perl programming language, Web Programming)

说明：  使用ABAQUS进行热分析的示例并不多，这个例子展示了使用abaqus计算热应力与温度的详细步骤。(There are not many examples of using ABAQUS for thermal analysis. This example shows the detailed steps of using ABAQUS to calculate thermal stress and temperature.)

说明：  用于训练压电陶瓷驱动器的输出信号，压电陶瓷驱动器的出输出存在迟滞现象，用BP神经网络训练其输入输出数据，可以预测驱动器接下来的输出数值。(Output signal for training piezoelectric actuator.The output of piezoelectric ceramic actuator is sluggish. The input and output data of piezoelectric ceramic actuator can be predicted by BP neural network training.)

一种新型的毫米波雷达地杂波特性de分析与研究,(milimeter radar research)

用python编的爬虫小程序，希望大家喜欢，谢谢大家！(python internet reptile book)

说明：  统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)