A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation-Reference-Cited by-同舟云学术

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A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation

Published:2024-04 Issue: Volume:155 Page:111458
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Salimi-Badr Armin^ORCID

Publisher

Elsevier BV

Reference108 articles.

1. ANFIS: adaptive-network-based fuzzy inference system;Jang;IEEE Trans. Syst. Man Cybern.,1993

2. SOFMLS: Online self-organizing fuzzy modified least-squares network;de Jesus Rubio;IEEE Trans. Fuzzy Syst.,2009

3. IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function approximation;Salimi-Badr;Appl. Soft Comput.,2022

4. A novel self-organizing fuzzy neural network to learn and mimic habitual sequential tasks;Salimi-Badr;IEEE Trans. Cybern.,2022

5. A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules;Salimi-Badr;Neurocomputing,2022

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