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实验45 手写识别实验
基于STM32的手写识别，使用STM32战舰V3开发板，STM32F3ZET6。在LCD触摸屏幕中，滑动手指，可以识别手写的字符和数字。(STM32-based handwriting recognition, the use of STM32 warship V3 development board, STM32F3ZET6. In the LCD touch screen, slide your finger to recognize handwritten characters and numbers.)
- 2017-07-20 15:53:32下载
- 积分：1
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ADC DMA
最近在调试STM32F205芯片ADC多通道DMA方式采集数据，总结下STM32多通道ADC的DMA方式采集的使用方法。(Recently in the debug STM32F205 ADC chip multi-channel DMA way to collect data, summarize the STM32 multi-channel ADC DMA sampling method.)
- 2020-06-18 01:40:01下载
- 积分：1
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电子秤读取小程序
电子秤读取小程序
- 2020-05-12下载
- 积分：1
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BPBPBPBPN
BP神经网络源程序 很好用 已经经过调试 希望能给大家带来帮助(BP neural network has been very easy to use source code debugging We hope you help)
- 2011-09-21 16:30:12下载
- 积分：1
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C#局域网桌面监控
远程共享桌面，通过截取发送桌面图片实现。(Remote shared desktop, through the interception of desktop pictures sent to achieve.)
- 2017-09-19 14:13:38下载
- 积分：1
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newpnn[1]
基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。(GMM based probabilistic neural network PNN good generalization ability, ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, has become a solution as speaker recognition, character recognition, medical imaging identification, satellite image recognition, and many other practical difficulties classification of very effective tool. GMM and PNN only has most of the advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other network other theories seamless integration.)
- 2013-08-07 17:07:15下载
- 积分：1
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rgbtogray
TO PERFORM RGB TO GRAY CONVERSION
- 2015-04-20 13:22:40下载
- 积分：1
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C# 权限登录，社团管理，成员管理(入门级示例)
C# 权限登录，社团管理，成员管理(入门级示例)
- 2019-01-07下载
- 积分：1
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vlfeat-0.9.19-bin.tar
SIFT，SURF，MSER函数库,包括MATLAB和C++源程序(SIFT SURF MSER function)
- 2014-10-08 16:06:45下载
- 积分：1
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STM32的iCAN通信程序，KEIL环境.rar
STM32的iCAN通信程序，KEIL环境.rar
STM32的iCAN通信程序，KEIL环境.rar
- 2022-02-03 18:14:13下载
- 积分：1
