Abstract
Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption is no longer necessary. Firstly, we characterize the diagnostic tasks and the causal network which is used to represent the diagnostic problem, then we describe the neural network diagnosis model, finally, some experiment results will be given.
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© 1998 Springer-Verlag Berlin Heidelberg
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Xu, Y., Zhang, C. (1998). A neural network diagnosis model without disorder independence assumption. In: Lee, HY., Motoda, H. (eds) PRICAI’98: Topics in Artificial Intelligence. PRICAI 1998. Lecture Notes in Computer Science, vol 1531. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095282
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DOI: https://doi.org/10.1007/BFb0095282
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65271-7
Online ISBN: 978-3-540-49461-4
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