System for setting tolerance limit of correlation by using repetitive cross-validation and method thereof
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United States of America Patent
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Jun 8, 2021
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May 9, 2019
app pub date -
Nov 7, 2018
filing date -
Apr 6, 2016
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Abstract
A correlation tolerance limit setting system using repetitive cross-validation includes: a variable extraction unit randomly classifying data of an initial DB set into training set data and validation set data at a specific rate and then extracting variables for determining a DNBR limit by optimizing coefficients of a selected correlation; a normality test unit testing normality for a variable extraction result; a DNBR limit unit determining whether data sets have a same population or not depending on normality result and determining DNBR limit from a distribution of 95/95 DNBR; and a controller.
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