带书签-电力电子技术 第5版 12474073(1)

resin-reference resin server Setting

说明：  What is data structure? A data structure is a way of organizing data that considers not only the items stored, but also their relationship to each other. Advance knowledge about the relationship between data items allows designing of efficient algorithms for the manipulation of datList out the areas in which data structures are applied extensively?  Compiler Design,  Operating System,  Database Management System,  Statistical analysis package,  Numerical Analysis,  Graphics,  Artificial Intelligence,  Simulation

说明：  继wvd后的一个改进型时频分析工具，在时间分割上，值得借鉴(wvd following an improved version of the time-frequency analysis tool, the time-sharing, worth learning)

GEF中文教程书籍源码.这个是第6章的代码。(GEF Chinese tutorial source books and this is the code in Chapter 6.)

ansys壳单元分析箱梁的命令流，可修改箱梁参数(ansys shell command stream analysis of box girder, box girder parameters can be modified)

说明：  主用用于通信中的MAC层协议的仿真，模拟节点发包、丢包过程(For the simulation of communicate system)

一个关于用python语言写abaqus的脚本的好的教程(LearnAbaqusScriptInOneHour)

本课件系统地讲述了几何光学的原理，对入门学者来说很有帮助(The principles of the courseware systematically describes the geometrical optics, for entry scholars helpful)

现代控制系统，Dorf.R.C及Bishop.R.H的大作，现在都到第十三版了。从事控制工程的工程师都应该好好读读这本书，讲解清晰，并附有大量工程实例，之前在学校没学懂控制理论，是在工作过程中自学的，主要就是这本书吧，控制工程人员的基础。 包含课本源码（源码从网上都好找），以及中文PPT（这个网上不好找的）。不愿花钱买的，也可以上网找找电子书，中文扫描版或英语版电子书。(Modern control systems, Dorf.RC and Bishop.RH s masterpiece, now to the 13th edition of the. Engineers involved in control engineering should be a good read this book to explain clearly, together with a large number of engineering practice, did not learn in school before the control theory, self-learning process at work, and mainly the book a, control engineering staff base. Includes textbooks, source (source code from the Internet are all easy to find), and Chinese PPT (not easy to find in this online). Unwilling to spend money to buy, you can also look for books online, the Chinese version or English version of book scanning.)

神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)