Chaotic time series prediction via artificial neural square fuzzy inference system
作者：
Highlights：
• We showed that high order TSK fuzzy systems are general approximators.
• We introduced a simplified type of second order TSK system.
• The possibility of training those systems by ANFIS is investigated.
• A new method is developed for training the proposed second order TSK system.
• The efficiency of this method is investigated by comparing with other methods.
摘要
•We showed that high order TSK fuzzy systems are general approximators.•We introduced a simplified type of second order TSK system.•The possibility of training those systems by ANFIS is investigated.•A new method is developed for training the proposed second order TSK system.•The efficiency of this method is investigated by comparing with other methods.
论文关键词：Second order TSK,Chaotic time series,Fuzzy systems
论文评审过程：Received 10 June 2015, Revised 14 February 2016, Accepted 15 February 2016, Available online 24 February 2016, Version of Record 12 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.031
