Deep Independent Recurrent Neural Network Technique for Modeling Transient Behavior of Nonlinear Circuits

Amin Faraji, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Morteza Nabavi and Yvon Savaria

Article (2023)

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Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/53765/
Journal Title:	IEEE Transactions on Components, Packaging and Manufacturing Technology (vol. 13, no. 5)
Publisher:	IEEE
DOI:	10.1109/tcpmt.2023.3279098
Official URL:	https://doi.org/10.1109/tcpmt.2023.3279098
Date Deposited:	10 Jul 2023 16:30
Last Modified:	25 Sep 2024 16:45

Cite in APA 7:	Faraji, A., Sadrossadat, S. A., Moftakharzadeh, A., Nabavi, M., & Savaria, Y. (2023). Deep Independent Recurrent Neural Network Technique for Modeling Transient Behavior of Nonlinear Circuits. IEEE Transactions on Components, Packaging and Manufacturing Technology, 13(5), 688-699. https://doi.org/10.1109/tcpmt.2023.3279098
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