Descending epsilon in back-propagation: a technique for better generalization

Abstract

Epsilon technique cannot learn from training patterns with a contradiction | i.e. two or more training patterns have identical inputs but dierent outputs. These training patterns are not 100% satisable and the Descending Epsilon technique will not be able to reduce the value of epsilon beyond a limit. Secondly, the Descending Epsilon technique takes more… (More)
DOI: 10.1109/IJCNN.1990.137840

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