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利用matlab实现H-infinity鲁棒控制
利用Matlab实现H∞控制,有代码,对初学者有帮助(H infinity control in Matlab)
- 2020-12-15 09:09:13下载
- 积分:1
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时间序列分析及应用:R语言,潘红宇
《时间序列分析及应用:R语言,潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)
- 2019-02-16 21:50:38下载
- 积分:1
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大洋SST绘图
说明: 使用nc文件绘制大洋的SST图
数据来源:NOAA网站AVHRR卫星数据(SST)。
数据选用原因:它本身是已经被处理过的27年(1982-2008)全球月平均数据,而且数据精度非常高,对于研究全球SST的气候态特征有较好的说服性;另外,选择2月与8月的数据,对描述海洋水温的平面分布更具有代表性。(plot sst
Using NC file to draw SST map of ocean)
- 2020-12-11 20:39:34下载
- 积分:1
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MSGR
关于ISAR运动补偿和SAR成像的matlab 源程序 不错的(About the ISAR motion compensation and matlab source good SAR imaging)
- 2021-04-12 15:28:58下载
- 积分:1
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cifafenxi
用于启动界面的制作,以及对于词法的分析,很实用的东西(Interface used to start production, as well as for lexical analysis, a very practical things)
- 2008-08-11 17:19:25下载
- 积分:1
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基于C#的温湿度实时曲线显示
frmGoodsIn.Designer
基于C#的温湿度实时曲线显示,利用chart控件。(Real-time temperature and humidity curve display based on C # and chart control.)
- 2020-06-25 06:40:02下载
- 积分:1
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Snake games, also known as Worm and Nibbles, are those classic arcade games, whe...
Snake games, also known as Worm and Nibbles, are those classic arcade games, where you feed a snake, which then grows, while moving it over the screen and avoid running into obstacles or your own snake tail.
- 2023-02-08 00:05:04下载
- 积分:1
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CB iNsights
Healthacre market study
- 2019-01-20 11:34:17下载
- 积分:1
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jTopo-master
jtopo拓扑图的实现,使用JTOPO开源,创建JTOPO应用(JTOPO MASTER,use jtopo source,create my usecase)
- 2019-02-19 09:05:25下载
- 积分:1
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kaggle_diabetic-master
A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh.
Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images.
You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.
- 2019-05-11 15:31:21下载
- 积分:1