Abstract
The paper describes an approach to diagnostic applications that uses a selforganizing classifier, capable of performing incremental learning and of dealing with noisy data, and allows to estimate the distance from pathological regions and the time-to-failure.
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© 1993 Springer-Verlag London Limited
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Morasso, P., Pareto, A., Pagliano, S., Sanguineti, V. (1993). Self-Organizing Neural Network for Diagnosis. In: Gielen, S., Kappen, B. (eds) ICANN ’93. ICANN 1993. Springer, London. https://doi.org/10.1007/978-1-4471-2063-6_228
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DOI: https://doi.org/10.1007/978-1-4471-2063-6_228
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Print ISBN: 978-3-540-19839-0
Online ISBN: 978-1-4471-2063-6
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