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Vegetation_Cover_Index_Calculator - 20151224
说明: 利用全年modis的植被指数数据计算植被覆盖度(Calculation of vegetation coverage using annual MODIS vegetation index data)
- 2019-04-18 10:45:28下载
- 积分:1
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http_rabbit_C
用Dynamic C写的http程序,可以在rabbit芯片上跑(using Dynamic C http written procedures, the rabbit can run on chips)
- 2007-04-21 19:51:03下载
- 积分:1
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bpbianshi
这是一个利用labview实现的BP网络的非线性系统仿真辨识程序(this is a program with labview)
- 2009-05-29 15:59:43下载
- 积分:1
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DrawMySlider
一个自绘的slider按钮 , 实现定制的slider外观。(A custom slider button that implements a custom slider look.)
- 2017-09-14 12:02:12下载
- 积分:1
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网络电话例程,可以连接本机做测试!
网络电话例程,可以连接本机做测试!-telephone network routines, can be connected to the testing machine!
- 2022-04-23 16:47:56下载
- 积分:1
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Short-circuit-current-calculation
这个是华中科技大学的电力系统分析的课程设计,用matlab编程,生成matlab GUI界面,计算三相对称下的短路电流(This is the Huazhong University of Science and Technology curriculum design power system analysis using matlab programming, matlab GUI interface generation, symmetrical three-phase short-circuit current is calculated under)
- 2014-05-05 11:11:58下载
- 积分:1
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vvvvA-Simple-Transmit-Diversity-Technique-in-wire
This paper presents a simple two-branch transmit
diversity scheme. Using two transmit antennas and one
receive antenna the scheme provides the same diversity order
as maximal-ratio receiver combining (MRRC) with one transmit
antenna, and two receive antennas
- 2014-05-15 15:13:15下载
- 积分:1
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基于TCP的多人聊天小程序,有服务器跟客户端
基于TCP的多人聊天小程序,有服务器跟客户端
-chatting over small programs, a server with client
- 2022-02-28 13:48:55下载
- 积分:1
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温度采集模拟cvi
labwindows cvi的温度采集模拟,简单(LabWindows CVI temperature acquisition simulation, simple)
- 2017-06-21 15:35:24下载
- 积分:1
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Recommender-Systems-master
说明: 使用协同过滤的推荐系统测试代码Predicting movie ratings using collaborative filtering and latent concept extractors based on matrix decomposition methods like SVD and CUR on the movielens-100k dataset
The project explores techniques for predicting unknown user ratings based on a large dataset of users and movie ratings.(Recommender-SystemsWe used 6 different recommender methods to predict user ratings across the data sets.
Namely we set up Collaborative Filtering along with its baseline variant and Matrix decomposition techniques like Singular Value Decomposition and CUR. Moreover, we also implemented dimensionality reduction in these matrix decomposition techniques which preserved 90% of the energy so as to increase the computational efficiency while keeping the accuracy similar for these methods.)
- 2019-01-13 21:30:57下载
- 积分:1