A self-supervised learning system for pa
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K Yamauchi; M Oota; N Ishii
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Article
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1999
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Elsevier Science
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English
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Artificial neural networks are useful tools for pattern recognition because they realize nonlinear mapping between input and output spaces. This ability is tuned by supervised learning methods such as back-propagation. In the supervised learning methods, desired outputs of the neural network are nee