Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Publisher
Dordrecht: Springer Netherlands
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Contents
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 classified as deep neuro-fuzzy systems (DNFS). Studi...
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Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9005344
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9005344
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ISSN
0269-2821
E-ISSN
1573-7462
DOI
10.1007/s10462-022-10188-3
