Evaluation of neural network robust reliability using information-gap theory

IEEE Transactions on Neural Networks

Volumn 17, Issue 6, 2006, Pages 1349-1361

  Pierce, S Gareth ^a   Ben Haim, Yakov ^b   Worden, Keith ^c   Manson, Graeme ^c  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Information gap; Neural networks; Robustness; Uncertainty

Indexed keywords

INFORMATION THEORY; MATHEMATICAL MODELS; OPTIMIZATION;

CONVENTIONAL OPTIMIZATION; INFORMATION-GAP THEORY; INFORMATION-GAP UNCERTAINTY; NEURAL NETWORK ROBUSTNESS; OPTIMAL NETWORK;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; EVALUATION; INFORMATION RETRIEVAL; INFORMATION SCIENCE; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; INFORMATION STORAGE AND RETRIEVAL; INFORMATION THEORY; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 37849186300     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.880363     Document Type: Article

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