Performance evaluation of a partial retraining scheme for defective multi-layer neural networks

Proceedings of the Australasian Computer Systems Architecture Conference, ACSAC

Volumn 2001-January, Issue , 2001, Pages 138-145

  Yamamori, K ^a   Abe, T ^a   Horiguchi, S ^a  

^a JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Artificial neural networks; Circuit faults; Equations; Information science; Multi layer neural network; Neural network hardware; Neural networks; Neurons; Pattern recognition; Signal to noise ratio

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COMPUTER ARCHITECTURE; COMPUTER HARDWARE; DEFECTS; HARDWARE; INFORMATION SCIENCE; NETWORK ARCHITECTURE; NETWORKS (CIRCUITS); NEURAL NETWORKS; NEURONS; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO;

CIRCUIT FAULTS; DEFECT COMPENSATION; EQUATIONS; GENERALIZATION ABILITY; HARDWARE DEVICES; HARDWARE NEURAL NETWORKS; NEURAL NETWORK HARDWARE; RECOGNITION RATIO;

NETWORK LAYERS;

EID: 84948751314     PISSN: 15300927     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACAC.2001.903376     Document Type: Conference Paper

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