Computational intelligence techniques (CITs) traditionally consist of artificial neural networks (ANNs), fuzzy systems and genetic algorithms. This article overviews diverse implementations of ANNs, which are the most prominent in nuclear engineering problems, especially for small modular reactors (SMRs). Advanced computational intelligence-based tools will allow data to be transformation into knowledge, thus improving understanding, predictability (can be seen from the two case studies for thermal-hydraulic prediction), sustainability, and performance of SMRs with real time analysis and monitoring.
Computational Intelligence as a Tool for Small Modular Reactors
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Manic, M, & Sabharwall, P. "Computational Intelligence as a Tool for Small Modular Reactors." Proceedings of the ASME 2011 Small Modular Reactors Symposium. ASME 2011 Small Modular Reactors Symposium. Washington, DC, USA. September 28–30, 2011. pp. 299-310. ASME. https://doi.org/10.1115/SMR2011-6544
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