inet-3.0.0-src.tgz

文档中包含TCA（迁移学习算法当中的迁移成分分析程序），包括原版和翻译版，复制到MATLAB上面可以很好的实现它的功能(Document contains TCA (migration learning algorithm among migration component analysis program), including the original and translation version, copied to MATLAB above, you can very well achieve its function)

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)

gwt in practice 的英文原版电子书(gwt in practice of the English original e-books)

说明：  上传两篇偏置面齿轮的经典论文，继我上传的正交面齿轮的深入，代码留言。(Upload two classic papers with offset face gears, following my in-depth study of orthogonal face gears, the code message.)

THANKING YOU VERY MUCH

无线电波在遇到雨衰减模型计算，知道频率，每小时降雨量，就可以计算有雨条件下的特征衰减(In the presence of rain attenuation models, radio waves can calculate the characteristic attenuation under rain conditions if they know the frequency and the rainfall per hour.)

简单易行，很好玩很简单那，我都没费什么功夫(Simple and fun it is very simple)

说明：  C++编程指南电子版 ，林锐博士的多年C++编程经验总结，其中C++编程中需要注意的问题和编程技巧总结的不错 (C++ programming guidelines electronically, Dr. Lin Rui years of Experience in C++ programming, including C++ programming problems that need attention and good programming skills summary)

针对使用传统分类器预测配变重过载会因为重过载样本率较低而带来的总正确率很高，重过载预测正确率却很低这一问题，将重抽样与随机森林理论引入分类模型中，构建重抽样-随机森林分类器对配变重过载进行预测。结果表明，新方法在预测配变日重过载类型、重过载开始与结束时间、重过载严重程度方面有较高的准确率。(For the problem of using the traditional classifier to predict the distribution of heavy overload, the total correct rate is high because of the low overload sample rate, and the accuracy of the heavy overload prediction is very low. The resampling and random forest theory are introduced into the classification model. In the construction, the re-sampling-random forest classifier is used to predict the heavy-duty overload. The results show that the new method has higher accuracy in predicting the type of daily variable overload, the start and end time of heavy overload, and the severity of heavy overload.)

rule discovery for cancer detection by particle swarm optimization in data mining