深入浅出JAVA Swing程序设计光盘代码.新书,相当不错

MATLAB Simulations for Radar Systems DesignAB_Simulations_for_Radar_Systems_Design

Linux设备驱动程序的编写 Linux设备驱动程序的编写-Linux Device Driver Linux device driver to prepare the preparation of

iso18000-1标准文档，对有需要的人有帮助-iso18000-1 standard document for people in need help

windows API 大全,是从事Windows应用程序开发所必备的说明文档-Daquan, is engaged in the development of Windows applications by the required documentation

javaWeb框架很多，struts2， webwork，struts，springMVC等，都是很好的javaweb框架-Many javaWeb framework, struts2, webwork, struts, springMVC are all very good framework javaweb

MFC做的随机选取4张牌求和,很简单,没难度,纯属娱乐!-MFC done randomly selected four licensing summation, very simple, not difficult, purely entertainment!

本文结合自己的开发经验，给出在JBoss 3.2.1 下开发J2EE 一些相关的注意事项和规则。 其中，读者一定要知道JBoss 3.2.1 作为JBoss 的过渡产品（与JBoss 3.0.x、JBoss 4.x 相比）， 自然有些东西和JBoss 3.0.x、JBoss 4.x 有很大差别。但是，一般情况下，本文介绍的内容， 大体上都适合JBoss 各个版本。-this paper the development of their own experience, given the JBoss J2EE 3.2.1 under development to the attention of a number of related issues and rules. Among them, the reader must know JBoss 3.2.1 JBoss as a transitional product (JBoss 2005 3.0.x, compared JBoss 4.x), and naturally some things JBoss 2005 3.0.x, JBoss 4.x are very different. However, under normal circumstances, this paper introduces the content, generally are suitable for all versions of JBoss.

经典的unix书籍，看了它之后，再看unix、linux的代码就非常容易明白-classic books, read it, look at Unix, Linux code is very easy to understand

微软认证考试的复习材料麽立体，对于大家想要参加这项考试的人来说，可是相当有用哦-Microsoft certification exam review materials Mody three-dimensional, for we want to take part in the examination of people, but very useful Oh

：将基于统计学习理论的支持向量机方法引入到测井资料处理和解释中。在测井岩性识别方面研 究发现，支持向量机方法克服了神经网络的固有缺陷，提供了一种识别岩性的新方法。应用效果表明 该方法具有适应性强、识别精度高的优点-: Will be based on statistical learning theory of support vector machine approach to the introduction of logging data processing and interpretation. Lithology identification in the logging study found that support vector machine neural network to overcome the inherent shortcomings, provides a new method of lithology identification. Application results show that the method has strong adaptability to identify the advantages of high accuracy