Status of research and development of learning-based approaches in nuclear science and engineering: A review-Reference-Cited by-同舟云学术

Status of research and development of learning-based approaches in nuclear science and engineering: A review

Published:2020-04 Issue: Volume:359 Page:110479
ISSN:0029-5493
Container-title:Nuclear Engineering and Design
language:en
Short-container-title:Nuclear Engineering and Design

Author:

Gomez-Fernandez Mario,Higley Kathryn,Tokuhiro Akira,Welter Kent,Wong Weng-Keen,Yang Haori

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,Waste Management and Disposal,Safety, Risk, Reliability and Quality,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Reference234 articles.

1. Determination of radioisotopes in gamma-ray spectroscopy using abductive machine learning;Abdel-Aal;Nucl. Instrum. Methods Phys. Res. Section A: Acceler., Spectrometers Detectors Associated Equipment,1997

2. Modeling nuclear reactor core dynamics with recurrent neural networks;Adali;Neurocomputing,1997

3. Agarwal, V., Alamaniotis, M., Tsoukalas, L.H., 2015. Predictive based monitoring of nuclear plant component degradation using support vector regression. In: Conference: 9. International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human Machine Interface Technologies. Idaho National Lab.

4. Prediction Machines: The Simple Economics of Artificial Intelligence;Agrawal,2018

5. Use of artificial neural networks in measuring characteristics of shielded plutonium for arms control;Aitkenhead;J. Anal. At. Spectrom.,2012

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