Efficient classification system based on Fuzzy–Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal

作者：

Highlights：

• We design a classification system for brain signal based on evolutionary algorithm.

• The proposed methods base on fuzzy rough theory and Multitree Genetic Programming.

• We examine the intension pattern of brain signals with fNIRS.

• The proposed FRFS reduced the data volume and extracted the informative features.

• The proposed GP classified with higher accuracy than conventional methods.

摘要

•We design a classification system for brain signal based on evolutionary algorithm.•The proposed methods base on fuzzy rough theory and Multitree Genetic Programming.•We examine the intension pattern of brain signals with fNIRS.•The proposed FRFS reduced the data volume and extracted the informative features.•The proposed GP classified with higher accuracy than conventional methods.

论文关键词：Fuzzy–rough sets,Feature selection,Multitree GP,Brain signal,Intension recognition

论文评审过程：Available online 6 October 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.048