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Seismic wave response spectrum converter

于 2020-06-23 发布
0 178
下载积分: 1 下载次数: 2

代码说明:

说明:  采用matlab针对地震波反应谱进行转换(Seismic wave response spectrum converter)

文件列表:

Seismic wave response spectrum converter\SIMQKE_GR\Dforrt.dll, 419328 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\Install.bat, 308 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\MSCH2IT.DLL, 113152 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\MSCHRT20.OCX, 1009336 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\MSHFGIT.DLL, 53248 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\MSHFLXGD.OCX, 438976 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\MSSTDFMT.DLL, 119808 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\Simqke.dll, 40960 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\SIMQKE.OUT, 97641 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\SIMQKE_GR.cnt, 195 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\SIMQKE_GR.exe, 262144 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\SIMQKE_GR.HLP, 943497 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\Spectrum.exe, 86016 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\VB6STKIT.DLL, 101888 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\反应谱转人工波程序SIMQKE_GR使用说明.pdf, 1160673 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR\导入的反应谱.srf, 1604 , 2019-02-08
Seismic wave response spectrum converter\SIMQKE_GR, 0 , 2019-07-21
Seismic wave response spectrum converter, 0 , 2019-07-21

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  • cdma
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    2007-07-04 11:35:21下载
    积分:1
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    2015-04-08 15:45:02下载
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    2011-01-12 10:51:07下载
    积分:1
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    该代码主要是解决激发介质问题,用来计算每一个元胞。(The code is mainly to solve the problem excitable media, used to calculate each cell.)
    2013-09-14 21:45:43下载
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    adaboost算法训练,tr_func_handle and te_func_handle are function handles for training and testing of a weak learner, respectively. The weak learner has to support the learning in weighted datasets. The prototypes of these functions has to be as follows.(adaboost train)
    2011-01-23 18:10:35下载
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    2011-04-06 21:19:03下载
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    2007-09-28 18:44:04下载
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