A-Basic-Procedure-for-FEM-Analysis2D

一些关于蒙特卡罗无信息变量消除法(MC_UVE)的实用文章。(No information about Monte Carlo variable elimination method (MC_UVE) practical article.)

说明：  地理信息系统原理，是一本电子书教材，希望对大家有用(The principle of geographic information system is an e-book teaching material, I hope it is useful to everyone)

多传感器数据融合，主要讲解了数据融合的一些原理和方法，并利用matlab进行编程的一些例子(Multi-sensor data fusion, mainly explained some principles and methods of data fusion, and some examples of using matlab to programming)

超小波分析与应用的讲义，包含2、3、4、7、8、9章内容，有塔式算法、脊波和曲波变换、Surfacelet变换等(The the super wavelet analysis and application of handouts, 2,3,4,7,8,9 chapter, tower algorithm, ridgelet and curvelet transform, Surfacelet transform etc.)

codesys是一款针对控制器的编程语言，操作简单，针对性强(CoDeSys is a programming language for controllers, which is easy to operate and has strong pertinence.)

说明：  从0开始介绍深度学习中文电子版书籍，内容详细，共500多页(Introduce the Chinese electronic version of deep learning books from 0, the content is detailed, a total of more than 500 pages)

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...)

使用ANSYS求解系统在脉冲激励下的动态响应，利用APDL语言以命令流的方式实现。(system dynamic response in the pulse excitation is solved in the case of ANSYS runs the APDL language.)

LDPC码的编译码原理，详细完整，是了解LDPC码基础知识的很好的材料(LDPC code encoding and decoding principles, detailed and complete, is to understand the basics of LDPC codes of good material)

这是一篇有关故障录波仪如何开发的硕士论文，论文行文清楚、逻辑分明，重点讲述了故障录波器的算法，值得看。(This is a fault recorder on how to develop the master's thesis papers lines clearly and logically distinct, and highlight the fault recorder algorithm worth observing.)