sanxiangqiaoshiquankongzhengliu

说明：  基于ls-dyna的汽车碰撞模型，最新版本的ls-dyna分析平台可通过(Car FE model base on ls-dyna. It could be run on the latest version of ls-dyna.)

maximum power point tracking model

C#在窗体的状态栏中加入图标显示，比如示例窗体的左下角，在“操作员”的左侧，有一个彩色的小图标，这就是本程序实现的功能，在窗口的状态栏中显示图标的功能。

stolt, w-k algorithm

blos的基础知识，设置 希望对大家有用-blos the basis of knowledge, we hope to set up useful

C#发送邮件的程序源码，这是一个MailMessage类、SmtpClient类的应用实例，在C#中，您会设置POP3服务器么？如何根据指定的邮件服务器向其它邮件服务器发邮件啦？本例特别简单，向您演示C#发邮件的过程，代码简单，适合学习参考。

Rabbit has been released into the public domain and may be used freely for any purposeRabbit has been released into the public domain and may be used freely for any purposeRabbit has been released into the public domain and may be used freely for any purposeRabbit has been released into the public domain and may be used freely for any purposeRabbit has been released into the public domain and may be used freely for any purposeRabbit has been released into the public domain and may be used freely for any purpose

说明：  使用卷积神经网络进行高光谱遥感数据分类，使用的数据源为Pavia University高光谱数据 文件夹log--日志文件夹，存放TensorBorad日志、网络参数文件、混淆矩阵图 文件夹Patch--存放数据处理的切片结果 文件夹PaviaU--高光谱数据下载存放位置 文件夹predicted--CNN对原始影像的分类结果 data.py--对原始高光谱影像进行数据处理，生成切片 net.py--神经网络模型 train.py--训练神经网络 utils.py--需要用到的函数 show.py--使用训练好的神经网络模型对原始数据进行分类(Using convolution neural network to classify hyperspectral remote sensing data, the data source is Pavia University hyperspectral data. Folder log -- Log folder, store TensorBorad logs, network parameter files, obfuscation matrix diagrams Folder Patch -- Stores slice results of data processing Folder PaviaU -- Place for Hyperspectral Data Download and Storage Folder predicted -- CNN classification results of original images Data.py -- Data processing of original hyperspectral images to generate slices Net.py--Neural Network Model Train.py--Training Neural Network Utils. py -- Functions to be used Show.py -- Classification of raw data using trained neural network model)

orcad原理图绘制教程。60分钟可学会。-orcad schematic drawing tutorial. 60 minutes to learn.

实现MSK调制过程，通过定义入手，先计算相位，然后分两路调制-modulate msk with noise