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Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters

Research article (IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022) · cited 12× · AI/ML
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Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters

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Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-networks-approach-for-reduced-rms-currents-in-triple-active-bridge-converters
MLA “Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-networks-approach-for-reduced-rms-currents-in-triple-active-bridge-converters.
BibTeX @misc{4ortxyz_artificial-neural-networks-approach-for-reduced-rms-currents-in-triple-active-bridge-converters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial Neural Networks Approach for Reduced RMS Currents in Triple Active Bridge Converters}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-networks-approach-for-reduced-rms-currents-in-triple-active-bridge-converters}, note = {Accessed: 2026-05-24}}
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