Symbolic knowledge extraction from trained neural networks: A sound approach

作者:

摘要

Although neural networks have shown very good performance in many application domains, one of their main drawbacks lies in the incapacity to provide an explanation for the underlying reasoning mechanisms.

论文关键词:Neural-symbolic integration,Rule extraction,Nonmonotonic reasoning,Artificial neural networks

论文评审过程:Received 15 August 1999, Revised 29 June 2000, Available online 12 January 2001.

论文官网地址:https://doi.org/10.1016/S0004-3702(00)00077-1