Abstract
Discusses a high speed off-line defect compensation scheme for trained multi-layer neural networks implemented in WSI devices. Since the partial retraining scheme utilizes the redundancy of neural networks, no additional circuits are needed. The performance of the partial retraining scheme is compared with that of a back-propagation algorithm on a face image recognition problem.
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