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project2
中科大高级计算机网络第二次试验：
1）使用Mininet 、MinEdit模拟数据中心网络；
2）使用Controller，实现由链路故障和没有故障时的两种情况；
3）不使用Controller的模拟，手动配置Fattree的路由转发表；
(USTC Advanced Computer Network Second test: 1) the use of Mininet, MinEdit analog data center network 2) Controller, implemented by the two cases and no link failure fault 3) without analog Controller, manual configuration Fattree the routing tables )
- 2020-06-29 18:40:01下载
- 积分：1
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亚声速-超声速等熵喷管流动的CFD解法 python
亚声速-超声速等熵喷管流动的CFD解法，运用python语言对方程的求解实现。(CFD solution for the flow of subsonic and supersonic isentropic nozzle,the solution of the equation is realized by using the python language.)
- 2020-07-03 19:40:02下载
- 积分：1
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LSTM-for-time-series-prediction
本代码是使用lstm进行时间序列预测，能够很清晰的说明如何使用lstm(Time series prediction using LSTM)
- 2020-07-02 03:40:01下载
- 积分：1
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_book
该资源是关于Python软件的安装环境参考教学文档的(The resource is about the installation environment of the Python software refer to the teaching document.)
- 2020-06-25 00:40:02下载
- 积分：1
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STU3
说明： 用PYTHON语言编写的学生成绩管理系统，供初学者参考(A student achievement management system written in PYTHON language for beginners reference)
- 2020-06-08 08:51:10下载
- 积分：1
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ArcGIS的Python脚本编程
说明： 地理信息系统应用，面向ArcGIS的Python脚本编程(Geographic Information System Application, Python Script Programming for ArcGIS)
- 2020-11-26 17:29:31下载
- 积分：1
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递归算法画五角星
了解基本编程知识，熟悉编程算法，递归算法画五角星。(Understand basic programming knowledge, familiar with programming algorithm, recursive algorithm drawing pentagon.)
- 2020-06-23 20:20:01下载
- 积分：1
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openmv硬件平台实现颜色识别，色块跟随uart_red
说明： 利用openmv硬件平台，实现颜色识别，色块跟随，并在串口打印出色块的中心坐标(Using openmv hardware platform to realize color recognition, color block following, and printing the center coordinates of excellent block at serial port)
- 2020-06-19 03:00:01下载
- 积分：1
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简易的串口通讯程序，包括GUI和串口通讯功能，以供学习 pyserial_demo
简易的串口通讯程序，包括GUI和串口通讯功能，以供学习(Simple serial communication program, including GUI and serial communication functions, for learning)
- 2020-06-25 04:20:01下载
- 积分：1
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knn
说明： 以图像处理和knn算法为基础，利用knn算法，在python开发环境中设计了一个手写数字识别系统，该系统采用28*28的模板对图新分成784块提取手写数字的784个特征，在二值图像数据基础上，通过朴素贝叶斯分类器算法，对0~9这十类手写数字进行学习和分类。(Based on image processing and KNN algorithm, a handwritten digit recognition system is designed in Python development environment by using KNN algorithm. The system uses 28*28 template to divide the graph into 784 blocks to extract 784 features of handwritten digits. On the basis of binary image data, it learns and classifies the ten types of handwritten digits, 0-9, through Naive Bayesian classifier algorithm.)
- 2019-04-29 11:06:29下载
- 积分：1
