4jianliModels

黑客与画家，高清扫描版pdf，中文版，是一本不错的计算机专业书籍(Hackers and Painters, HD scan version pdf, Chinese version, is a good computer science books)

交流白色LED灯驱动电路的浅析，测试表明已达到预期的效果(The exchange of the white LED lamp driver circuit of the analysis, testing has indicated that the desired results)

farsightwince入门教程,比较适合初学者(Tutorial farsightwince more suitable for beginners)

说明：  这是有关相控阵的书籍，介绍很全面而且翔实，有关超声发射和聚焦方法介绍等(This is a book about phased arrays, the introduction is very comprehensive and informative, about the introduction of ultrasound transmission and focusing methods, etc.)

情人节表白攻略，大家来试试吧,很有意思的(Valentine' s Day confession Raiders, everyone to try it, very interesting)

最近 LCC 谐振变换器备受关注，因为它优于常规串联谐振变换器和并联谐振变换器：在负载和输入变化较大时，频率变化仍很小，且全负载范围内切换可实现零电压转换（ZVS）。本文介绍了LLC型谐振变换器的分析方法，回顾了LLC型谐振变换器的实际设计要素。其中包括设计变压器和选择元器件。采用一设计实例，逐步说明设计流程，有助于工程师更加轻松地设计LLC谐振器。(Recently LCC resonant converter has attracted much attention, because it is better than that of the conventional series resonant converter and parallel resonant converter in the load and input change, frequency change is still very small, and the whole range of the load switch can realize zero voltage switching (ZVS). In this paper, the analysis method of LLC resonant converter is introduced, and the practical design elements of LLC resonant converter are reviewed. Including the design of transformers and components. A design example is used to explain the design process step by step, which is helpful for engineers to design LLC resonators more easily.)

fichier de guide de demmarage Altuim designer

这是关于齐鲁软件设计大赛“基于web service掌上应用开发”的相关上交文档！(This is the Qilu Software Design Competition on " web service-based handheld application development," submitted the relevant documents!)

说明：  Optical communication system book for Matlab

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)