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Fuzzy Sets and Systems, Volume 394

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Volume 394, September 2020

Neurofuzzy Systems and Learning
Neurofuzzy systems

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Anderson Pablo Freitas Evangelista, Ginalber Luiz de Oliveira Serra:
State space black-box modelling via Markov parameters based on evolving type-2 neural-fuzzy inference system for nonlinear multivariable dynamic systems. 1-39
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  - journals/fss/ShiWZTC20
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Kaibo Shi, Jun Wang, Shouming Zhong, Yuanyan Tang, Jun Cheng:
Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control. 40-64
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Wei Li, Junfei Qiao, Xiao-Jun Zeng, Shengli Du:
Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. 65-86
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Fanchao Kong, Quanxin Zhu, Rathinasamy Sakthivel:
Finite-time and fixed-time synchronization control of fuzzy Cohen-Grossberg neural networks. 87-109

Learning

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Tinghua Wang, Yunzhi Qiu, Jialin Hua:
Centered kernel alignment inspired fuzzy support vector machine. 110-123
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Pengfei Ren, Hao Dai, Weisheng Chen:
Distributed cooperative learning over time-varying random networks using a gossip-based communication protocol. 124-145

Approximation theory

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Türkan Yeliz Gökçer, Oktay Duman:
Approximation by max-min operators: A general theory and its applications. 146-161

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