A weighted fuzzy process neural network model and its application in mixed-process signal classification

作者：

Highlights：

• Fuzzy process neuron representation of fuzzy predicate logic.

• Fuzzy rules adaptive selection based on reliability and application threshold.

• Quantitative and qualitative mixed process signals classification.

• Fusion of time-varying signal feature learning and fuzzy process decision-making.

摘要

•Fuzzy process neuron representation of fuzzy predicate logic.•Fuzzy rules adaptive selection based on reliability and application threshold.•Quantitative and qualitative mixed process signals classification.•Fusion of time-varying signal feature learning and fuzzy process decision-making.

论文关键词：Mixed-Process signal classification,Fuzzy decision rules,Fuzzy predicate logic,WFPNN,Information fusion

论文评审过程：Received 11 April 2019, Revised 27 December 2020, Accepted 19 January 2021, Available online 26 January 2021, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114642