信号与系统(第二版)(完整版本)

内含VMD相关matlab程序及VMD相关文章，方便阅读(it is a VMD program.)

c++模板源码中的第一章节memory，方便你学习时参考，应该会对你有所帮助(c++ template source in the first section of memory, easy reference when you learn, it should be will help you)

c++程序设计书（Liang）（全）中源码包括所有例题源码(the sorce code of c++ programming)

可以放入电机模型，直接运行，改变参数比较方便(Can be put into the motor model, direct operation, change the parameters more convenient)

最新版[C程序设计(第四版)].谭浩强。习题内容个人实践，源代码,第三章(The latest version of [C Programming (Fourth Edition)]. Hemopurification. Content of individual practice exercises, source code, Chapter III)

《MATLAB 神经网络43个案例分析》源代码&数据 《MATLAB 神经网络43个案例分析》源代码&数据("MATLAB neural network 43 case analysis" source code & data "MATLAB neural network 43 case analysis" source code & data)

移动质量下的车桥耦合,可以改变参数，实现不同情况。(The quality of the mobile vehicle bridge coupling)

用ABAQUS扩展有限元方法模拟水里压裂的例子。(The program developed in Python language is mainly used to simulate the hydraulic fracture on ABAQUS platform. Plastic damage model is adopted for cement sheath.)

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.)

计算器 能够分析表达式,看看吧,很有用的,用能挺强的,(Calculator can analyze the expression, and have a look, it s very useful and can be quite strong,)