Open AccessThe importance of input variables to a neural network fault-diagnostic system for nuclear power plants
Author(s) -
Terry L. Lanc
Publication year - 1992
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31274/rtd-180817-5668
Subject(s) - nuclear power , artificial neural network , fault (geology) , power (physics) , computer science , nuclear power plant , reliability engineering , artificial intelligence , engineering , physics , nuclear physics , seismology , geology , quantum mechanics
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