SYSTEM FOR SETTING TOLERANCE LIMIT OF CORRELATION BY USING REPETITIVE CROSS-VALIDATION AND METHOD THEREOF

摘要

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 resu 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.