Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller
- Submitting institution
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Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29364173
- Type
- D - Journal article
- DOI
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10.1109/TNNLS.2015.2491305
- Title of journal
- IEEE Transactions on Neural Networks and Learning Systems
- Article number
- -
- First page
- 2084
- Volume
- 27
- Issue
- 10
- ISSN
- 2162-237X
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Original design and first demonstration of adaptive Type-2 fuzzy neural networks for noise cancelling. Published in IEEE transactions on Neural Networks and Learning Systems, the foremost journal in AI and Machine Learning. Led to a good number of further developments, including research done by world-leading groups in the area (e.g., University of Adelaide, Australia; Sun Yat-sen University, Beihang Unversity, Harbin Institute of Technology, China; National University of Singapore, Singapore).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -