Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs

Research article (IEEE Journal of Emerging and Selected Topics in Power Electronics, 2020) · cited 47× · AI/ML
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Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs

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Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs. Retrieved May 24, 2026, from https://4ort.xyz/entity/torque-modeling-of-a-segmented-rotor-srm-using-maximum-correntropy-criterion-based-lssvr-for-torque-calculation-of-evs
MLA “Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/torque-modeling-of-a-segmented-rotor-srm-using-maximum-correntropy-criterion-based-lssvr-for-torque-calculation-of-evs.
BibTeX @misc{4ortxyz_torque-modeling-of-a-segmented-rotor-srm-using-maximum-correntropy-criterion-based-lssvr-for-torque-calculation-of-evs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs}}, year = {2026}, url = {https://4ort.xyz/entity/torque-modeling-of-a-segmented-rotor-srm-using-maximum-correntropy-criterion-based-lssvr-for-torque-calculation-of-evs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Torque Modeling of a Segmented-Rotor SRM Using Maximum-Correntropy-Criterion-Based LSSVR for Torque Calculation of EVs — https://4ort.xyz/entity/torque-modeling-of-a-segmented-rotor-srm-using-maximum-correntropy-criterion-based-lssvr-for-torque-calculation-of-evs (retrieved 2026-05-24)

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