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- W2098191566 abstract "This paper shows that single hidden layer networks with semi-linear activation function compute the answer set semantics of extended logic programs. As a result, incomplete (nonmonotonic) theories, presented as extended logic programs, i.e., possibly containing both classical and default negations, may be refined through inductive learning in knowledge-based neural networks." @default.
- W2098191566 created "2016-06-24" @default.
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- W2098191566 date "2003-06-25" @default.
- W2098191566 modified "2023-09-25" @default.
- W2098191566 title "Extended theory refinement in knowledge-based neural networks" @default.
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- W2098191566 doi "https://doi.org/10.1109/ijcnn.2002.1007610" @default.
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