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Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Methods

Jiajun Wang Tufan Kumbasar

自动化学报（英文版）2019，Vol.6Issue(1)：247-257,11.

自动化学报（英文版）2019，Vol.6Issue(1)：247-257,11.DOI:10.1109/JAS.2019.1911348

Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Methods

Jiajun Wang ¹Tufan Kumbasar²

作者信息

1. School of Automation, Hangzhou Dianzi University,Hangzhou 310018, China
2. Control and Automation Engineering Department,Faculty of Electrical and Electronics Engineering, Istanbul Technical University, TR-34469 Istanbul, Turkey
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摘要

关键词

Big bang-big crunch (BBBC)/interval type2/fuzzy neural networks (IT2FNNs)/parameter optimization/particle swarm optimization (PSO)

Key words

Big bang-big crunch (BBBC)/interval type2/fuzzy neural networks (IT2FNNs)/parameter optimization/particle swarm optimization (PSO)

引用本文复制引用

Jiajun Wang,Tufan Kumbasar..Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Methods[J].自动化学报（英文版）,2019,6(1):247-257,11.

基金项目

This work was supported by the National Natural Science Foundation of China (61873079,51707050). （61873079,51707050）

自动化学报（英文版）

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ISSN：2329-9266

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