2012.李航.统计学习方法

对SPSS16.0的详细介绍，关于SPSS的学习方法及理论知识。(A detailed description of SPSS16.0 on SPSS learning methods and theoretical knowledge.)

一本关于黑客攻防技术的书籍，非常实用，主要是win环境下的技术，建议大家学习。(A hacker attack and defense techniques on the books, very practical, mostly win environment technology, suggest that you learn.)

说明：  Tutorial for c++ beginners 2

keil简单入门书籍,适合于新手入门使用......(Keil simple introductory books)

说明：  STM32 handbook (Rus), Real HW in real life.

说明：  声呐信号处理引论+第二版-李启虎-海洋出版社.pdf(Sonar Signal Processing Introduction+ second edition- for twin- Ocean Press .pdf)

说明：  结构随机振动，很经典的英文原版课本。Random Vibrations Analysis of Structural and Mechanical Systems(Random Vibrations Analysis of Structural and Mechanical Systems)

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：  本问详细的说明了空间点云的重建三角网格 多种子点和平坦部分优先生长方法的点云到网格重建(Detailed description of the Q space point cloud reconstruction of triangular mesh multi-point and the flat part of the seed growth method priority point cloud to mesh reconstruction)

基于PSCAD的高压直流输电系统建模和仿真以及直流输电线路的故障仿真(Based on Fault Simulation System modeling and simulation PSCAD HVDC and HVDC transmission lines)