Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey
Author:
Funder
Universiti Teknologi Petronas
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10188-3.pdf
Reference144 articles.
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3. Amosov OS, Ivanov YS, Amosova SG (2019) Recognition of abnormal traffic using deep neural networks and fuzzy logic. In: 2019 international multi-conference on industrial engineering and modern technologies (FarEastCon), pp 01–05. https://doi.org/10.1109/FarEastCon.2019.8934327
4. An J, Fu L, Hu M, Chen W, Zhan J (2019) A novel fuzzy-based convolutional neural network method to traffic flow prediction with uncertain traffic accident information. IEEE Access 7:20708–20722. https://doi.org/10.1109/ACCESS.2019.2896913
5. Angelov PP, Gu X (2018) Deep rule-based classifier with human-level performance and characteristics. Inf Sci 463–464:196–213. https://doi.org/10.1016/j.ins.2018.06.048
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