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B7_Panel
用来处理一些面板数据,stata文件,可以进行面板数据回归等一系列操作(use to deal with stata panel data)
- 2020-06-19 23:20:02下载
- 积分:1
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基于矢量量化的孤立词语音识别
LLYGKYKYUYKUIKUYILKUILUILULUILUYL(KYUKUYKULUILUILUILUYLUILUILUILIULUL)
- 2018-07-25 17:44:06下载
- 积分:1
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JSP论坛系统源码
JSP论坛系统,用struts hibernate 开发的JSP论坛源码!开发平台:eclipese 3.1.2,web服务器: tomcat 5,数据库: mysql5.0。
- 2023-04-24 11:55:05下载
- 积分:1
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整除
说明: 输入一个奇数,然后判断最少几个 9 除于该数的结果为整数。(Enter an odd number and then determine the minimum of 9 and the result of the number is an integer.)
- 2020-06-17 17:40:02下载
- 积分:1
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MATLAB
使用MATLAB软件绘制石墨烯的结构点阵(Drawing the lattice lattice of graphene)
- 2018-04-17 22:30:05下载
- 积分:1
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compressandforward
文章简要的介绍了目前较新的压缩转发技术,compress-and-forward技术在现今研究较热门,相关的人员可以看看。(This paper addresses cooperative Time Division Duplex (TDD) relaying in the multiple-antenna case with full Channel State Informatio(CSI),assuming perfect knowledge of all channels.The main focus of the
paper is on the Compress-and-Forward (CF) strategy, for which an achievable rate on the Gaussian MIMO relay
channel can be derived by applying distributed vector compression techniques.)
- 2010-01-05 19:23:53下载
- 积分:1
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观察者模式-基本代码
Context Menu Manager 2015.9.15 Keygen source code
- 2020-06-24 13:00:02下载
- 积分:1
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扫雷小游戏dos界面 比较简单哦
用控制台做的
扫雷小游戏dos界面 比较简单哦
用控制台做的-Mine game dos interface
- 2023-02-25 18:50:03下载
- 积分:1
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winsock的局域网通信系统支持c/s单工通信
winsock的局域网通信系统支持c/s单工通信-winsock LAN communications system to support the c/s single-communication
- 2023-05-01 10:40:04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