TY - GEN
T1 - Computational intelligence as a tool for small modular reactors
AU - Manic, Milos
AU - Sabharwall, Piyush
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84881467779&partnerID=8YFLogxK
U2 - 10.1115/SMR2011-6544
DO - 10.1115/SMR2011-6544
M3 - Conference contribution
AN - SCOPUS:84881467779
SN - 9780791854730
T3 - ASME 2011 Small Modular Reactors Symposium, SMR 2011
SP - 299
EP - 310
BT - ASME 2011 Small Modular Reactors Symposium, SMR 2011
T2 - ASME 2011 Small Modular Reactors Symposium, SMR 2011
Y2 - 28 September 2011 through 30 September 2011
ER -