A novel information-gap technique to assess reliability of neural network-based damage detection

Journal of Sound and Vibration

Volumn 293, Issue 1-2, 2006, Pages 96-111

  Pierce, S G ^a   Worden, K ^a   Manson, G ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; INFORMATION ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

ARITHMETIC-BASED INFORMATION-GAP TECHNIQUE; CONVENTIONAL NETWORK TRAINING; CRISP (SINGLE-VALUED) DATA; INTERVAL-BASED WORST-CASE ERROR; RELIABILITY OF NEURAL NETWORK-BASED DAMAGE DETECTION; ROBUSTNESS OF TRAINED CLASSIFIERS;

NEURAL NETWORKS;

EID: 33644937846     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2005.09.029     Document Type: Article

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