A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods
Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude from fuzzy inference systems (FIS). This study provides a comprehensive review of DNFS dividing it into two essential part...
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Main Authors: | , , , , , |
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Format: | Article |
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Springer Science and Business Media Deutschland GmbH
2022
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122803339&doi=10.1007%2fs00521-021-06807-9&partnerID=40&md5=115fc4364c86240d29b72de307395c23 http://eprints.utp.edu.my/33588/ |
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