Day 2 Tue, February 22, 2022 2022
DOI: 10.2523/iptc-22357-ms
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Experimental Study of Shape Memory Sand Control Screen

Abstract: Shape memory sand control screen completion based on shape memory polymer not only has the advantages of simple process and easy to run in hole, like independent screen, but also can achieve the sand management effect of gravel filling. Therefore, shape memory sand control screen has wide application prospects. However, since the shape memory material is temperature-sensitive, a large number of laboratory experiments are needed to evaluate its expansion, seepage and sand retaining capabilities, as well as opti… Show more

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“…The hyperparameters of the network (e.g., learning rate) are subtle but potentially vital details in the ultimate learning process 63 . ArcGIS Pro's "Train Deep Learning Model" geoprocessing tool does not offer optimizer selection on its user interface, but this function was identified in the underlying packages 54,58 that the training tool calls an exact open-source FastAI code, which has adaptive moment estimation (' Adam'; 64 ) as its default 65,66 . Adam is one of the so-called "adaptive optimizers", achieving finer networks by specializing a particular learning rate for each parameter 64 .…”
mentioning
confidence: 99%
“…The hyperparameters of the network (e.g., learning rate) are subtle but potentially vital details in the ultimate learning process 63 . ArcGIS Pro's "Train Deep Learning Model" geoprocessing tool does not offer optimizer selection on its user interface, but this function was identified in the underlying packages 54,58 that the training tool calls an exact open-source FastAI code, which has adaptive moment estimation (' Adam'; 64 ) as its default 65,66 . Adam is one of the so-called "adaptive optimizers", achieving finer networks by specializing a particular learning rate for each parameter 64 .…”
mentioning
confidence: 99%