Learning_network_Services

模糊理论和神经网络的基础与应用，该书很有深度，值得仔细阅读。(Fuzzy theory and neural network-based and application, the book is very profound, worthy of careful reading.)

说明：  】《微电子制造科学原理与工程技术》（第二版），作者：（美）Stephen A.Campbell。本书系统地介绍了微电子制造科学原理与工程技术，覆盖了集成电路制造所涉及的所有基本单项工艺，包括光刻、等离子体和反应离子刻蚀、离子注入、扩散、氧化、蒸发、气相外延生长、溅射和化学气相淀积等。对每一种单项工艺，不仅介绍了它的物理和化学原理，还描述了用于集成电路制造的工艺设备(】 &quot Microelectronics manufacturing science and engineering principles&quot (second edition), on: (United States) Stephen A. Campbell. This book introduces the principles of microelectronics manufacturing science and engineering technology, IC manufacturing involves covering all the basic individual techniques, including photolithography, plasma and reactive ion etching, ion implantation, diffusion, oxidation, evaporation, gas epitaxial growth, sputtering and chemical vapor deposition, etc.. For each individual process, not only describes its physical and chemical principles, but also describes the process used in integrated circuit manufacturing equipment)

一位学术界大师写的PPT，如何写出世界级的好paper(how to write a world class paper)

AuloCAD2000_ARx二次开发实例精粹[老大中](The Essence of AuloCAD2000_ARx Secondary Development Example)

说明：  servomotor labview arduino

反垃圾邮件技术LSA和MD5，对研究反垃圾邮件技术的朋友有所帮助(Anti-spam technology LSA and MD5, the study of anti-spam technology help a friend)

说明：  数字图像处理入门书籍 内含多种图像处理技术及matlab实现代码(digital image books using matlab)

关于计算机维修的心得，写上来看，不容易啊。对维修很有指导作用(maintenance on the computer experience, to write, Burongyia. Useful guide to the maintenance role)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)

Learning C# 2005 By Jesse Liberty, Brian MacDonald ............................................... Publisher: O Reilly Pub Date: February 2006 Pages: 552 Programming C# and Programming ASP.NET, has written an entry-level guide to C#.