首页|Study Results from Institute of Nuclear Safety System Inc. Update Understanding of Machine Learning (Quantum Circuit Learning for Uncertainty Quantification of RELAP5 Code Analysis of ROSA/LSTF Small Break LOCA Tests)
Study Results from Institute of Nuclear Safety System Inc. Update Understanding of Machine Learning (Quantum Circuit Learning for Uncertainty Quantification of RELAP5 Code Analysis of ROSA/LSTF Small Break LOCA Tests)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence.According to news reporting from the Institute of Nucle ar Safety System Inc.by NewsRx journalists, research stated, “To reduce the com putational demand in the best estimate plus uncertainty (BEPU) analysis, an accu rate and inexpensive machine learning model is expected to be used to replace th e high-fidelity RELAP5 code for rapid determination of the uncertainties on the figure of merit of interest.”
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