Developing a computational tool for predicting physical parameters of a typical VVER-1000 core based on artificial neural network-Reference-Cited by-同舟云学术

Developing a computational tool for predicting physical parameters of a typical VVER-1000 core based on artificial neural network

Published:2012-12 Issue: Volume:50 Page:82-93
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Mirvakili S.M.,Faghihi F.,Khalafi H.

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference26 articles.

1. Bushehr NPP Final Safety Analysis Report;Atomic Energy Organization of Iran (AEOI),2005

2. COBRA-EN: An Upgraded Version of the COBRA-3C/MIT Code for Thermal Hydraulic Transient Analysis of Light Water Reactor Fuel Assemblies and Cores;Basile,1999

3. Axial offset control of PWR nuclear reactor core using intelligent techniques;Boroushaki;Nucl. Eng. Des.,2004

4. ENDF/B-VII.0: next generation evaluated nuclear data library for nuclear science and technology;Chadwick;Nucl. Data Sheets,2006

5. Sub-channel thermal analysis of rod bundle cores;Chelemer;Nucl. Eng. Des.,1972

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