Jafari, R orcid.org/0000-0001-7298-2363, Razvarz, S, Gegov, A et al. (1 more author) (2020) A Survey on Applications of Neuro-Fuzzy Models. In: 2020 IEEE 10th International Conference on Intelligent Systems (IS). 10th IEEE International Conference on Intelligent Systems IS’20, 28-30 Aug 2020, Varna, Bulgaria. Institute of Electrical and Electronics Engineers ISBN 978-1-7281-5457-2
Abstract
Artificial intelligence techniques such as neuro-fuzzy have been successfully applied in a wide variety of uses to be mentioned as economics, engineering, social science, and business. In order to show the implementations of neuro-fuzzy in engineering the most recent researches in the area of neuro-fuzzy are covered in this paper. As many researchers have effectively utilized neuro-fuzzy in engineering applications, detailed studies are provided in this work for stimulating future researches.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | ©2020 IEEE. This is an author produced version of a paper accepted for publication in Proceedings of the 10th IEEE International Conference on Intelligent Systems. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | component; artificial intelligence; neuro-fuzzy; engineering |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2020 11:01 |
Last Modified: | 08 Dec 2020 12:22 |
Published Version: | https://ieeexplore.ieee.org/servlet/opac?punumber=... |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/IS48319.2020.9200185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156090 |