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 - Reports
DOI - 10.2172/10138922
Subject(s) - nuclear power , scram , operator (biology) , fault (geology) , nuclear power plant , power (physics) , reliability engineering , computer science , signal (programming language) , engineering , risk analysis (engineering) , business , nuclear engineering , ecology , biochemistry , chemistry , physics , seismology , gene , transcription factor , nuclear physics , biology , programming language , geology , repressor , quantum mechanics
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