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- W2375221981 abstract "Neural Network(NN)'s incomprehensible quality is always an inherent defect that limits its self-development. This paper, from the functional point of view, describes a method that employs a ICS algorithm to extract rules from NN. The method uses tactics of immune clone in rules extraction from NN and clusters outputs of hidden neurons of NN, to reduce the searching scale and extract succinct sign rules of good understanding. The method can be used in all kinds of NN based classifier not depending on concrete net structure and training algorithm. The result of experiment shows its practicability and feasibility." @default.
- W2375221981 created "2016-06-24" @default.
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- W2375221981 date "2009-01-01" @default.
- W2375221981 modified "2023-09-22" @default.
- W2375221981 title "Rules Extraction from Neural Network Based on ICS Algorithm" @default.
- W2375221981 hasPublicationYear "2009" @default.
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