Jouini_soufien

Abaqus子程序Vumat初学者好用的小例子，PDF文件，内有代码和例子详解(Abaqus small example subroutine Vumat easy to use for beginners, PDF files, there are examples of code and Explanation)

BOSCH汽车电气与电子，汽车电子电气行业专业书籍，是入门的必备书籍(BOSCH automotive electrical and electronic, automotive electronic and electrical industry professional books, is a necessary entry book)

黑客基地VIP会员内部培训资料！ 第43讲：零起点教你手动对软件脱壳(Hackers VIP membership base within the training materials! 43 Lecture: beginners to teach you the software manually shelling)

RealView 编译器用户指南 中文版 本书提供 RealView 编译工具的参考信息，并介绍 ARM 编译器的命令行选项。本书也提供有关编译器中 C 和 C++ 以及 C 库的 ARM 实现方法的参考材料。(RealView Compiler User' s Guide Chinese version of the book compiled RealView tools provide reference information and describes the ARM compiler command-line options. The book also provide the compiler in C and C++ and C library implementation of the ARM of the reference material.)

windows应用程序基础pptwindows应用程序基础ppt(windows program basic )

说明：  这是关于的dreamweavermx教程，希望对大家有用，也希望大家一起进步(This is a tutorial on the dreamweavermx hope for all of us, I hope you progress with)

水声传播简正波计算程序，基于chebyshev近似方法。(underwater acoustic field computing NORMAL MODE program, based on CHEBYSHEV approximation.)

其实编程的时候也要很多数学知识，所以学习好高数是必不可少的，这本题解包括知识摘要和大量习题题解，可快速吸收(In fact, when the programming will still take many mathematical knowledge, it is good to learn a high number is essential, including knowledge of this problem solution Problem title abstracts and a large number of solutions, can quickly absorb)

关于关联向量机应用的最新文献！ 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)

SIMULATION OF PACKET DATA NETWORKS USING OPNET In this paper we describe the use of the OPNET simulation tool for modeling and analysis of packet data networks.