A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants-Reference-Cited by-同舟云学术

A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants

Published:2018-12 Issue: Volume:322 Page:102-119
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Tian David,Deng Jiamei,Vinod Gopika,Santhosh T.V.,Tawfik Hissam

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference59 articles.

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2. Safety Margins of Operating Reactors: Analysis of Uncertainties and Implication for Decision Making, Technical Report IAEA-TECDOC-1332, International Atomic Energy Agency (IAEA), 2003.

3. UCI Machine Learning Repository, https://archive.ics.uci.edu/ml/datasets.html, 2018.

4. Adaptive fuzzy fitness granulation for evolutionary optimization;Akbarzadeh-T;Int. J. Approx. Reason.,2008

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