Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the ideas of hybrid approaches, resulting in novel hybrid systems cl...
| Main Authors: | Talpur, N., Abdulkadir, S.J., Alhussian, H., Hasan, M.H., Aziz, N., Bamhdi, A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33262 / |
| Published: |
Springer Science and Business Media B.V.
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127983093&doi=10.1007%2fs10462-022-10188-3&partnerID=40&md5=675debd3bbac085540d2fc06d150a8d9 http://eprints.utp.edu.my/33262/ |
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