Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Machine learning and artificial neural networks have shown to be applicable in modeling and simulation of complex physical phenomena as well as creating surrogate models trained with physics-based simulation data for numerous applications that require good computational performance. In this article,...

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Bibliographic Details
Main Authors: Mikko Tahkola, Janne Keranen, Denis Sedov, Mehrnaz Farzam Far, Juha Kortelainen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
design of experiments
electromagnetic modeling
machine learning
numerical simulation
permanent magnet machine
Online Access:https://ieeexplore.ieee.org/document/9284635/

Internet

https://ieeexplore.ieee.org/document/9284635/

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