17213013942

Jquery 基础教程的原码,作者 Jonathan chaffer, Karl Sweedberg(Learning JQuery 1.3 source code author: Jonathan chaffer, Karl Sweedberg)

说明：  实现对逆变器的三相电流、三相电压、三相IGBT温度、三相的频率等采样，涉及了应用层程序和底层程序(Sampling of three-phase current, three-phase voltage, three-phase IGBT temperature and three-phase frequency of inverters is realized, which involves application layer program and bottom layer program.)

说明：  MATLAB统计分析与应用里的copula理论和应用(COPLAB theory and application in MATLAB statistical analysis and application)

wood 方程计算流体体积模量，进而应用于饱含岩石流体替换。(The wood equation calculates the bulk modulus of the fluid, which in turn is applied to saturated rock fluid replacement.)

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

双向性渐进结构优化方法源代码,双向性渐进结构优化方法是YImin Xie教授提出的拓扑优化优化方法，是目前几种流行优化方法之一。(The code of Bidirectional progressive Structure optimization method.)

说明：  cmda仿真程序，实现无线通信系统扩频的功能(cmda simulation program, spread spectrum wireless communication systems to achieve the function of)

定义循环队列，完成队列的基本操作：入队和出队等(Defined circular queue, the queue to complete the basic steps: into the team and the teams)

用于功率谱测量的非常好的labview程序，运行无误。(Power spectrum measurement for a very good LabVIEW program, run correctly.)

combobox更新的一个控件,控件的确是不错(Combobox update a control, the control is really good)