Rotary-Machinery-Fault-Diagnosis--

本书首先介绍了MATLAB 语言的程序设计的基本内容，在此基础上系统介绍了各个应用数 学领域的问题求解，如基于MATLAB 的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。(The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields.)

说明：  可计算性与计算复杂性导引第三版书籍pdf版本(Computability and computational complexity guide book)

matlab建模与仿真带源码于群版，亲测非常全面，带书中例子和simpower使用手册(Matlab modeling and simulation)

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)

Silverlight2 Recipes.pdf

这是浙大鲍虎军教授演讲的纹理映射技术，内容十分详细。(This is Professor of Hu-Jun Bao Zheda speech texture mapping techniques, very detailed.)

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...)

说明：  该电子书是<<开发Microsoft Visio解决方案>>的英文版，是visio开发的一本好书。(The e-book is &lt &lt the development of Microsoft Visio Resolution &quot &gt The English version is visio a good development.)

为BI开发学习手册，内容为BO的产口培训手册。(BI developers study manual, training manual for the BO production mouth.)

清华现代数字信号处理参考书籍、课程重点及复习大纲，清华电子工程系张颢(Tsinghua modern digital signal processing reference books, course outlines priorities and review, Tsinghua Electronic Engineering Zhang Hao)