Chemical plant fault diagnosis through a hybrid symbolic-connectionist machine learning approach

Computers and Chemical Engineering

Volumn 22, Issue 1-2, 1998, Pages 299-321

  Ozyurt B ^a   Sunol, A K ^a   Camurdan M C ^b   Mogili, P ^a   Hall, L O ^a  

^a University of South Florida   (United States)

^b BOGAZICI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINATION; FAILURE ANALYSIS; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

HYBRID SYMBOLIC CONNECTIONIST APPROACH;

CHEMICAL PLANTS;

EID: 0031698749     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(97)88453-0     Document Type: Article

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