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Data · dataset · 2025

the data of ''Load identification of large-scale LNG receiving terminal structures using dynamic RBF neural network''

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The monitoring strain.txt file is the real-time monitoring strain of the FBG sensors at positions B34, B36, B38, and C11 on the pipe racks.The identified load.txt file is the identified load Load1-4 obtained by RBF neural network using expanding window and sliding window respectively.

Description

The counts of classes.txt is the error distribution and trend in load identification using the two dynamic training set adjustment methods.

The training time for the number of samples updated weekly.txt and training time for the frequency of load identification.txt are the training time of he two dynamic training set adjustment methods with respect to the number of samples updated weekly and the frequency of load identification.

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3402411 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:medicine-healthmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
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publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title