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code and data for A new method applied for the determination of relative weight ratios under the TensorFlow platform when estimating coseismic slip distribution

Authors: Zhao, Xiong; Caijun Xu;

code and data for A new method applied for the determination of relative weight ratios under the TensorFlow platform when estimating coseismic slip distribution

Abstract

The zip file contains two folders"HVCE and ABIC method implement on matlab" and "GDED method implement on tensorflow". Take the simulation experiments 1.2 and actual Illapel earthquakes as examples. the code for GDED method are placed on "GDED method implement on tensorflow" folders, and the code for the ABIC method and the HVCE method are place on "HVCE and ABIC method implement on matlab" folders. In the file"HVCE and ABIC method implement on matlab", the meaning of each code are represent as following ABIC_SIM:the slip distribution inversion results with the relative weight ratios determined by ABIC method Of simulation experiments and Illapel earthquakes HVCE:the slip distribution inversion results with the relative weight ratios determined by HVCE method Of simulation experiments and Illapel earthquakes GDED:the slip distribution inversion results with the relative weight ratios determined by GDED method Of simulation experiments and Illapel earthquakes(the relative weight ratios are from the "GDED method implement on tensorflow") In the file"GDED method implement on tensorflow", the meaning of each code are represent as following joint_inver_tensor_ex_1.0(1.1).py: the code for determining the relative weight ratios by the GDED method with(without) plot figures, which implement on Tensorflow platform the INSAR data and GPS data of Illapel earthquakes are palce on the \HVCE and ABIC method implement on matlab\Illapel earthquakes\data\ZLInSAR(ZLGPS)

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code and data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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