Empirical models based on machine learning techniques for determining approximate reliability expressions

Reliability Engineering and System Safety

Volumn 83, Issue 3, 2004, Pages 301-309

  Rocco S, Claudio M ^a   Muselli, Marco ^b  

^a UNIVERSIDAD CENTRAL DE VENEZUELA   (Venezuela)

^b CNR   (Italy)

Author keywords

Decision tree; Hamming clustering; Network reliability evaluation; Reliability expression; Rule generation

Indexed keywords

APPROXIMATION THEORY; BOOLEAN FUNCTIONS; COMPUTER SOFTWARE; DECISION THEORY; FUNCTION EVALUATION; LEARNING ALGORITHMS; MATHEMATICAL OPERATORS; PROBABILITY; RELIABILITY; TELECOMMUNICATION NETWORKS;

DECISION TREES (DT); HAMMING CLUSTERING (HC); NETWORK RELIABILITY EVALUATION; RULE GENERATION; STRUCTURE FUNCTIONS (SF);

LEARNING SYSTEMS;

EID: 0348231930     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2003.10.001     Document Type: Article

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