matlab_ansys

说明：  Model Rocket Flight Log

说明：  第1、第2、第3章简单介绍Python版本选择、Python解释器的不同实现、Python的安装、开发环境的选择。 2. 第4章介绍了编写高质量代码的技巧，比如代码风格、项目代码结构、文档等等。(Chapters 1, 2 and 3 briefly introduce Python version selection, different implementations of Python interpreter, installation of Python and selection of development environment. Chapter 4 introduces techniques for writing high-quality code, such as code style, project code structure, documentation, and so on.)

说明：  vue练习组件库，用于学习如何开发vue组件(Vue exercise component library for learning how to develop Vue components)

说明：  底部带缩略图的幻灯片代码是一款带有左右箭头，缩略图，文字标题描述的(The slide code with thumbnails at the bottom is a description with left and right arrows, thumbnails, and text titles.)

说明：  在葡萄酒制造业中，对于葡萄酒的分类具有很大意义，因为这涉及到不同种类的葡萄酒的存放以及出售价格，采用神经网络做为分类器可以有效预测相关葡萄酒的种类，从UCI数据库中得到wine数据记录的是在意大利某一地区同一区域上三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本分别属于三个类别(类别标签已给)，每个样本含有13个特征分量(化学成分)，将这178个样本70%做为训练样本，另30%做为测试样本，用训练样本对神经网络分类器进行训练，用得到的模型对测试样本的进行分类标签预测。(In the wine manufacturing industry, classification of wine is of great significance, because it involves the storage and selling price of different kinds of wine. Using neural network as classifier can effectively predict the types of related wine. The wine data recorded from UCI database is the chemical composition of three different kinds of wine in the same region of Italy According to the analysis, 178 samples in the data belong to three categories (the category label has been given). Each sample contains 13 characteristic components (chemical components). 70% of the 178 samples are used as training samples, and 30% are used as test samples. The training samples are used to train the neural network classifier, and the model is used to predict the classification label of the test samples.)

按键显示及控制电机,采用EM78P302芯片制作。(keybord ADC and Display)

说明：  用hanning窗的插值FFT算法，适用于电力系统信号的谐波分析(Hanning window with interpolation FFT algorithm, applied to power system harmonic analysis signals)

example 01a simple tx example

0－1背包Backtrack,算法中回索法的一个好例子(0-1 Knapsack Backtrack, back Sofa algorithm a good example of)

说明：  探讨无源时差定位情形下，星形，菱形，倒三角形布站方式对于定位精度的影响。主要讨论主站高度，目标高度，目标距离，站间距对于定位精度的影响。(This paper discusses the influence of star, diamond and inverted triangle station layout on location accuracy in passive TDOA location.)