IntelAsmProgram4

说明：  Python是一种计算机程序设计语言。是一种面向对象的动态类型语言，最初被设计用于编写自动化脚本(shell)，随着版本的不断更新和语言新功能的添加，越来越多被用于独立的、大型项目的开发。(Python is a computer programming language. As an object-oriented dynamic typed language, it was originally designed to write automated scripts (shells). With the updating of versions and the addition of new language functions, it is increasingly used in the development of independent, large-scale projects.)

高阶累积书籍，包含了双谱，1.5维谱的讲解和编程，值得拥有(High-end accumulation of books, including the bispectrum, lectures and programming 1.5 dimensional spectrum, worth having)

最新CodeIgniter 中文用户指南 版本 2.2.0, chm 文件，重新编译,离线查看。(CodeIgniter 2.2.0 .chm)

Pads Layout program Notes

wireless communications

用于r soft 初学者的学习资料，本资料包含rsoft软件基本的功能区介绍和简单实例讲解(Learning materials for r soft is a beginner)

多智能体模型与实验，是进行多智能体理论与实验的科研书(Multi-agent model and experiment, is a multi-agent theory and experimental research book)

说明：  The Art of Assembly Language 2nd Edition

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...)

电子书制作chm教材说明(electronic book production materials note)