Isotopic correlation for 242Pu composition prediction: Multivariate regresssion approach

Isotopic correlation for 242Pu composition prediction: Multivariate regresssion approach

Multivariate regression calibration using multiple linear regression (MLR), principle component regression (PCR) and partial least squares regression (PLSR) algorithm was performed on 238Pu, 239Pu, 240Pu and 241Pu atom% abundances to predict 242Pu isotopic abundance. The MLR algorithm was found to b...

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Veröffentlicht in:Applied radiation and isotopes 2015-01, Vol.95, p.169-173
Hauptverfasser: Sarkar, Arnab, Shah, Raju, Sasibhusan, K., Jagadishkumar, S., Paul, Sumana, Parab, A.R., Alamelu, D., Aggarwal, S.K.
Format: Artikel
Sprache:eng
Schlagworte:
Isotopic correlation
MLR
Multivariate regression
PCR
PLSR
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Zusammenfassung:Multivariate regression calibration using multiple linear regression (MLR), principle component regression (PCR) and partial least squares regression (PLSR) algorithm was performed on 238Pu, 239Pu, 240Pu and 241Pu atom% abundances to predict 242Pu isotopic abundance. The MLR algorithm was found to be the best among these three algorithms. The effect of 238Pu composition on the 242Pu abundance prediction was found to be small but significant especially for achieving high accuracy of
ISSN:0969-8043
1872-9800
DOI:10.1016/j.apradiso.2014.11.001