Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds

作者：

Highlights：

• We present an ensemble method that is able to extract knowledge from data.

• The ensemble method is also efficient as a learning model.

• Knowledge extraction is automatically represented as fuzzy rules.

• The ensemble method can be adapted in presence of new data.

摘要

•We present an ensemble method that is able to extract knowledge from data.•The ensemble method is also efficient as a learning model.•Knowledge extraction is automatically represented as fuzzy rules.•The ensemble method can be adapted in presence of new data.

论文关键词：Fuzzy inference system,Artificial hydrocarbon networks,Autonomous partitioning,Evolving models

论文评审过程：Received 22 August 2019, Revised 5 May 2020, Accepted 1 June 2020, Available online 4 June 2020, Version of Record 6 June 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106099