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- W2360863071 abstract "As the covering algorithm of forward neural networks design the network according to the training samples, its framework is easy to define and its performance is high. But the existence of noise samples may lead to some small covering domains, and these small domains increase the complexity and result in misrecognition. The support and confidence of a covering domain are defined and an algorithm of domains reduction is presented in this paper. Experimental results show that this algorithm can simplify the structure of the covering network and improve the stability of networks." @default.
- W2360863071 created "2016-06-24" @default.
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- W2360863071 date "2008-01-01" @default.
- W2360863071 modified "2023-09-25" @default.
- W2360863071 title "Algorithm of the Covering Domains Reduction Based on Association Rule" @default.
- W2360863071 hasPublicationYear "2008" @default.
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