simplorer_maxwell

说明：  遗传算法求解车辆路径问题,采用C#编写，计算结果以及计算结果的可视化显示(The genetic algorithm is used to solve the vehicle routing problem, which is compiled by C#, and the results are visualized.)

说明：  java examples with samples

说明：  元器件识别培训和参考指南是员工培训和快速参考的宝贵工具。这种用于电子组装操作者和检验员的综合元器件识别资源包含当今电子组装中常用的通孔和表面安装元器件的彩色照片、计算机制图、原理图符号以及详细描述。(IPC-DRM-18J: Component Identification Training and Reference Guide - English The Component Identification Training & Reference Guide is a valuable tool for employee training and quick reference. This comprehensive component identification resource for electronics assembly operators and inspectors contains color photographs, computer graphics, schematic symbols and detailed descriptions of through-hole and surface mount components commonly used in electronics assembly today.)

谭浩强C程序设计第四版第9章习题答案,自己做出来的( C Programming Fourth Edition Chapter 9 Exercise answers, do it yourself)

说明：  Abaqus基础材料数据库，方便abaqus模型的建立(Abaqus Basic Material Database)

运用数字信号处理理论和Matlab 软件研究的脉冲压缩多普勒雷达的信号处理仿真问题,提出了一个仿真模型,该模型能够仿真雷达信号、系统噪声与杂波的产生和脉冲压缩多普勒雷达系统中信号的动态处理过程,最后结合MIMO雷达信号特点 ,显示了使用Matlab 仿真雷达信号处理系统方便快捷的特点。(The use of digital signal processing theory and Matlab software to study the compression of pulse Doppler radar signal processing simulation, proposed a simulation model, the model can simulate the radar signal, the system noise and clutter generation and dynamic process of pulse compression signal Doppler radar system, finally combining the characteristics of MIMO radar signal, shows the use of Matlab simulation of radar signal processing system of convenient features.)

说明：  心电信号的检测，低通滤波器、高通滤波器、陷波器、前置放大电路、电平抬升电路(Detection of ECG signal)

说明：  Mindlin板频率计算；四边简支条件下准确模拟Mindlin板(SHELL181 for Mindlin plate)

使用SVM分类器来预测乳腺癌病人的预后(特征选择；分类器构建)，评价模型时使用无被交叉验证，性能评价指标包括准确率，AUC，灵敏度，特异度。学会最基本的机器学习方法。可查看分发给大家的代码，以后遇到类似的问题，可用相似的思路和代码。(The SVM classifier was used to predict the prognosis of breast cancer patients (feature selection; classifier construction), and the model was used without cross-validation. Performance evaluation indicators included accuracy, AUC, sensitivity, and specificity. Learn the most basic machine learning methods. You can view the code distributed to everyone, and later encounter similar problems, similar ideas and code can be used.)

高斯混合模型，一个非常有用的图像处理方法-Gaussian mixture model, a very useful image processing method