登录
首页 » Python » lineDemo

lineDemo

于 2019-04-30 发布 文件大小:72KB
0 208
下载积分: 1 下载次数: 1

代码说明:

  数据曲线分析,显示数据曲线,根据皮尔森系数判别两条数据曲线的相似度(Data curve analysis, display data curve, distinguish the similarity of two data curve according to Pearson coefficient)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • DCDC
    buck直流-直流转换器的simulink建模 电压反馈和电流反馈(buck dc-dc converter: basic structure[buck.mdl] voltage feedback[buck_fb.mdl] and current feedback[buck_fb_c.mdl])
    2009-02-20 11:11:41下载
    积分:1
  • VMD
    说明:  经验模态分解,vmd分解非线性信号,可以把信号分解成有用的数据,然后进行分解(Empirical mode decomposition (EMD) and VMD can decompose nonlinear signals into useful data, and then decompose them)
    2021-01-17 10:03:33下载
    积分:1
  • iso_iec_14496
    ISO_IEC_14496-1_2001(E)标准-ISO_IEC_14496- 1_2001 (E) standards
    2022-07-02 18:44:53下载
    积分:1
  • 报表教程
    润乾报表教程,里面详细的说明了基本的操作。非常实用,适合润乾小菜鸟。(Run-up report tutorial, which explains the basic operations in detail. Very practical, suitable for dry novices.)
    2020-06-20 00:20:02下载
    积分:1
  • Treatment of data, and research and development for specific projects, based on...
    对数据的处理,和对具体项目的研发,基于C语言的策划和程序设计-Treatment of data, and research and development for specific projects, based on the C language, planning and program design
    2022-05-30 23:39:13下载
    积分:1
  • TDC-GP22官方例程
    TDC官方例程,基于stm32,有各种手册资料,有源码(Official TDC routine)
    2020-12-07 15:19:21下载
    积分:1
  • elm0811
    说明:  极限学习机(ELM)用来训练单隐藏层前馈神经网络(SLFN)与传统的SLFN训练算法不同,极限学习机随机选取输入层权重和隐藏层偏置,输出层权重通过最小化由训练误差项和输出层权重范数的正则项构成的损失函数,(Extreme here means to move beyond conventional artificial learning techniques and to move toward brain alike learning. ELM aims to break the barriers between the conventional artificial learning techniques and biological learning mechanism.)
    2020-08-21 21:19:47下载
    积分:1
  • 基于vc下的中国象棋代码,我是学人工只能的
    基于vc下的中国象棋代码,我是学人工只能的-vc on the Chinese chess code, I study the manual only
    2023-06-07 14:45:03下载
    积分:1
  • 离散优化问题的启发式设计与实现,…
    When designing and implementing heuristics for discrete optimization problems, there are many choices to be made. These include search paradigms, search mechanisms, search parameters, test sets, etc. Often these choices are treated as independent of each other, even though most researchers acknowledge some interdependence between the diff erent search mechanisms and associated para- meter settings. Our experience is that the search mechanisms and parameters often interact, and at times in unforeseen ways. This is a diffi cult problem to disentangle, and often even to discover.
    2022-06-20 23:25:41下载
    积分:1
  • LandWiner
    在脚本上增加一些代码,修改部分数据,创建了一个新战斗单位 landWinner,修改脚本创建的单位可以更好体验在游戏中随心所欲的感觉(a new battle unite , trying to use it , face a new experience)
    2018-07-04 11:34:55下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载