Prediction of unmeasurable parameters of NPPs using different model-free methods based on cross-correlation detection of measurable/unmeasurable parameters: A comparative study-Reference-Cited by-同舟云学术

Prediction of unmeasurable parameters of NPPs using different model-free methods based on cross-correlation detection of measurable/unmeasurable parameters: A comparative study

Published:2020-05 Issue: Volume:139 Page:107232
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Moshkbar-Bakhshayesh Khalil^ORCID

Funder

Sharif University of Technology

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference27 articles.

1. Final safety analysis report (FSAR). Chapter 15;BNPP;Rev,2003

2. Bayesian Regularization of Neural Networks, Artificial Neural Networks;Burden,2008

3. Development of the on-line operator aid system (oasysm) using rule based expert system and fuzzy logic for nuclear power plants;Chang,1995

4. Hybrid accident simulation methodology using artificial neural networks for nuclear power plants;Choi;Inf. Sci.,2004

5. Pearson's Versus Spearman's and Kendall's Correlation Coefficients for Continuous Data;Chok,2010

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