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Space-resection
空间后方交会,供参考使用,学习参考资料。(Space resection)
- 2014-04-22 20:37:33下载
- 积分:1
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FFS_0-9
file system of uefi bios firmware
- 2019-03-04 16:08:04下载
- 积分:1
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双币对冲无限制版 DiggerGo_Two
说明: 最近流行的一款比较好用的双币对冲,此为无限制版,可以交易任意联动关系的两个货币兑。推荐欧美和镑美。(Recently, the popular double currency hedging, which is an unlimited version, can trade two currencies with arbitrary linkage. Recommend Europe and the United States and pounds.)
- 2020-06-18 01:40:01下载
- 积分:1
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Battery_charge_discharge_400V_2015
说明: 电池管理系统,实现充放电,电压电流双闭环控制,恒压,buck-boost输出。(battery management system)
- 2020-01-07 23:25:43下载
- 积分:1
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天若OCR文字识别V4.48
超好用的一款中英文字识别软件,现在已经下载不到了(Ultra-easy to use a Chinese and English character recognition software, now can not be downloaded.)
- 2020-06-16 03:40:02下载
- 积分:1
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used
说明: 易语言自助打印报表,可自定义设计大小,颜色,(Easy language self-printing report, customizable design size, color,)
- 2019-05-24 16:34:11下载
- 积分:1
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一个非常值得研究的源代码,界面和功能几乎和windows自带的扫雷游戏一模一样,可以设置游戏难度等级,值得学习。...
一个非常值得研究的源代码,界面和功能几乎和windows自带的扫雷游戏一模一样,可以设置游戏难度等级,值得学习。-a very worthwhile study the source code, interface and functions almost windows own mine same game, the game can set the difficulty level, it is worth learning.
- 2022-07-18 15:05:38下载
- 积分:1
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UART0_2_LCD
说明: 瑞萨R5F1000FG 串口,LCD显示(Risa R5F1000FG Serial Port, LCD Display)
- 2019-04-09 17:06:28下载
- 积分:1
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计算刀轴点坐标
计算刀轴点坐标,方便快捷,求取刀具刀轴点坐标,用于算nurbs曲线(Calculating the coordinates of cutter axis points is convenient and fast. Calculating the coordinates of cutter axis points is used to calculate NURBS curve.)
- 2019-05-22 14:47:00下载
- 积分:1
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聚类-k均值算法
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