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YorozuyaGS
Protection Rf Online
- 2019-03-18 04:44:59下载
- 积分：1
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无人驾驶车辆模型预测控制第2版20200424
说明： 一些关于无人驾驶的仿真实例，可能会有些帮助(Some simulation examples of unmanned driving may be helpful)
- 2020-09-18 09:35:58下载
- 积分：1
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Range
距离多普勒算法 基本源程序 用于课堂教学，程序完全正确可执行-Range-Doppler algorithm is the basic source for classroom instruction, the program entirely correct executable
- 2022-02-05 04:24:20下载
- 积分：1
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洗包机键盘中断及采样子程序，由于整个程序过大，有时间再分块分子程序上传，希望对有需要的同仁有所帮助！...
洗包机键盘中断及采样子程序，由于整个程序过大，有时间再分块分子程序上传，希望对有需要的同仁有所帮助！-Washing charter and sampling keyboard interrupt subroutine, since the whole process is too large, has time to block the molecular procedures upload, hope to have Tongren need help!
- 2022-01-21 05:05:47下载
- 积分：1
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二维码 二维码 二维码
二维码 二维码 二维码
- 2022-02-21 17:46:47下载
- 积分：1
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双馈异步风力发电机的控制模型DFIM_control_power
双馈异步风力发电机的控制模型，用simulink搭建，仿真效果良好！(The control model of doubly fed induction generator is built by Simulink, and the simulation results are good.)
- 2021-02-15 21:39:48下载
- 积分：1
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示波器
给大家上传一个用Labview做的示波器供大家参考！里面有源程序，大家可以套用。(To upload a Labview oscilloscope for your reference! There are active programs, you can apply them.)
- 2019-03-28 14:54:51下载
- 积分：1
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差分进化混合粒子群
说明： 本算法属于差分进化算法和粒子群算法的混合算法，有兴趣的同学可以学习一下(This algorithm belongs to the hybrid algorithm of differential evolution algorithm and particle swarm optimization algorithm. Interested students can learn about it.)
- 2020-07-04 10:00:02下载
- 积分：1
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聚类-k均值算法
说明： K-means算法是基于划分的思想，因此算法易于理解且实现方法简单易行，但需要人工选择初始的聚类数目即算法是带参数的。类的数目确定往往非常复杂和具有不确定性，因此需要专业的知识和行业经验才能较好的确定。而且因为初始聚类中心的选择是随机的，因此会造成部分初始聚类中心相似或者处于数据边缘，造成算法的迭代次数明显增加，甚至会因为个别数据而造成聚类失败的现象。(K-means algorithm is based on the idea of partitioning, so the algorithm is easy to understand and the implementation method is simple and feasible, but it requires manual selection of the initial number of clusters, that is, the algorithm is with parameters. The number of classes is often very complex and uncertain, so professional knowledge and industry experience are needed to better determine. Moreover, because the selection of initial clustering centers is random, some initial clustering centers will be similar or at the edge of data, resulting in a significant increase in the number of iterations of the algorithm, and even the phenomenon of clustering failure due to individual data.)
- 2020-06-21 17:40:01下载
- 积分：1
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探讨并总结了面试中关于指针与数组名的一个隐含问题，对此进行了延伸拓展。...
探讨并总结了面试中关于指针与数组名的一个隐含问题，对此进行了延伸拓展。-Explored and summed up the interview on the pointer and array name an implicit problem, which have been extended to expand.
- 2023-05-10 13:55:03下载
- 积分：1
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