Python Deep Learning

基于MATLAB进行数据分析，中国典型工况城市车辆数据分析(Data analysis based on MATLAB, data analysis of urban vehicles with typical working conditions in China)

针对充流管道单向流固耦合数值模拟过程复杂、数据在耦合传递中存在偏差的问题，采用 Ｃ＋＋语言编制了充流管道单向流固耦合数值模拟程序，实现了从模型建立、流体计算到结构分析 过程的自动化，确保了从流体计算到结构计算过程中数据传递的准确性．利用参考文献中的试验数 据验证了此程序计算结果的正确性，以实际发电厂的一段疏水管道为例进行单向流固耦合数值模 拟，描述了程序自动建立管道模型、模拟管内流体压力分布以及将流体压力数据导入管道结构中进 行管道应力计算的过程．结果表明：该充流管道单向流固耦合数值模拟程序具有结果准确、操作简 便的特点，可应用于多种充流管道的设计改造和风险预测中(Aiming at the complex numerical simulation process of one-way fluid-structure coupling in flow-filled pipeline and the deviation of data in coupling transmission, the method is adopted. C++ language has compiled the numerical simulation program of one-way fluid-structure coupling for filling pipeline, which has realized the process from model establishment, fluid calculation to structure analysis. The automation of the process ensures the accuracy of data transfer from fluid calculation to structural calculation. The correctness of the calculation results is verified by the program, and the one-way fluid-structure coupling numerical model is carried out for a section of)

非常详细的NURBS书籍，进行轨迹规划用得上。(NURBS)

我的认识实习报告，蒙牛工厂参观，希望对大家有用。(I understand the attachment of the report, Mengniu factory tour, I hope for all of us useful.)

说明：  《机器学习》是清华大学出版社出版发行的书籍，作者是周志华。(Machine Learning is a book published by Tsinghua University Press and written by Zhou Zhihua.)

密码的破解与反破解手册(crack passwords and anti-crack Manual)

hope it helps upload gg as

说明：  模式识别工具箱函数，包含多种模式识别方法如KNN，PCA，SVM,C4.5,EM算法等等(Pattern recognition toolbox functions, including a variety of pattern recognition methods such as KNN, PCA, SVM, C4.5, EM algorithm, etc.)

基于模型的设计_MCU篇，讲解基于模型设计的思想和方法(Model based design _MCU explains the ideas and methods of model-based design)

说明：  请仔细阅读简介！ 此书电子版较大，我分为三个压缩包进行上传，点进我主页下载全部压缩包，再一起解压，一定要下完了一起解压！(Please read the introduction carefully! Pudn has a complete program for this book, but there is no original book. The electronic version of this book is relatively large. I upload it in three compressed packages. Click on my home page to download all the compressed packages, and then decompress them together (the platform limits the file size). We must decompress them together when we are finished!)