Regulated Kalman filter based training of an interval type-2 fuzzy system and its evaluation-Reference-Cited by-同舟云学术

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Regulated Kalman filter based training of an interval type-2 fuzzy system and its evaluation

Published:2020-10 Issue: Volume:95 Page:103867
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ibrahim Ahmed Abdul,Zhou Hai-bo,Tan Shuai-xia,Zhang Chao-long,Duan Ji-an

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference55 articles.

1. Type 2 fuzzy neural structure for identification and control of time-varying plants;Abiyev;IEEE Trans. Ind. Electron.,2010

2. Fuzzy sets in dynamic adaptation of parameters of a bee colony optimization for controlling the trajectory of an autonomous mobile robot;Amador-Angulo;Sensors,2016

3. Multiobjective evolutionary optimization of type-2 fuzzy rule-based systems for financial data classification;Antonelli;IEEE Trans. Fuzzy Syst.,2017

4. Type-2 fuzzy reliability–redundancy allocation problem and its solution using particle-swarm optimization algorithm;Ashraf;Granular Comput.,2018

5. A beta basis function interval type-2 fuzzy neural network for time series applications;Baklouti;Eng. Appl. Artif. Intell.,2018

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