This paper proposes a Boolean algebra based algorithm to extract comprehensible Boolean rules from supervised feed-forward neural networks to uncover the black-boxed knowledge.

 
  • 本文提出一种布林代数为基的演算法,从监督、前馈式的类神经网路中撷取可以理解的布林规则,以揭露黑箱内的知识。
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