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- W2028792642 abstract "One of the major drawbacks or challenges of neural network models is that these models can not explain what they have done. Extracting rules from trained neural networks is one of the solutions for understanding the networks. However, what we should do with these extracted rules remains a research question. This paper tries to address issues on effectively and efficiently utilizing extracted rules or knowledge." @default.
- W2028792642 created "2016-06-24" @default.
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- W2028792642 date "2005-03-28" @default.
- W2028792642 modified "2023-09-25" @default.
- W2028792642 title "Knowledge extracted from trained neural networks: What's next?" @default.
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- W2028792642 doi "https://doi.org/10.1117/12.604463" @default.
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