An adaptive fuzzy semi-parametric regression model using TPB and ABC-BPNN
Author:
Funder
Priority discipline project of Shanghai
Foundation of Hujiang
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09191-9.pdf
Reference71 articles.
1. Abu Arqub O (2017) Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm-Volterra integrodifferential equations. Neural Comput Appl 28:1591–1610
2. Abu Arqub O, Singh J, Alhodaly M (2023) Adaptation of kernel functions-based approach with Atangana-Baleanu-Caputo distributed order derivative for solutions of fuzzy fractional Volterra and Fredholm integrodifferential equations. Math Methods Appl Sci 46:7807–7834
3. Abu Arqub O, Singh J, Maayah B, Alhodaly M (2021) Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag-Leffler kernel differential operator. Math Methods App Sci 46:7965–7986
4. Akbari MG, Hesamian G (2019) A partial-robust-ridge-based regression model with fuzzy predictors-responses. J Comput Appl Math 351:290–301
5. Akbari MG, Hesamian G (2019) Elastic net oriented to fuzzy semiparametric regression model with fuzzy explanatory variables and fuzzy responses. IEEE Trans Fuzzy Syst 27:2433–2442
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