Deep Neural Network Based Inductance Calculations of Wireless Power Transfer Systems
Author:
Affiliation:
1. Hirosaki University,Graduate School of Science and Technology,Aomori,Japan
2. Teikyo Heisei University,Graduate Program in Environmental Information Science,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10013950/10014027/10014111.pdf?arnumber=10014111
Reference6 articles.
1. New Structure Design of Ferrite Cores for Wireless Electric Vehicle Charging by Machine Learning
2. Machine Learning-Assisted Wireless Power Transfer Based on Magnetic Resonance
3. Analysis of the Losses in Contactless Energy Transfer Systems Based on Different Distances Between Shielding, Ferrite and Coil
4. Research on optimal receiver radius of wireless power transfer system based on BP neural network
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1. Mutual Inductance Estimation Using an ANN for Inductive Power Transfer in EV Charging Applications;Energies;2024-03-28
2. A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems;Energies;2023-12-01
3. Neural Network-Based Simulation and Circuit Analysis of Sub-Centimeter Coils for Implantable Medical Devices;2023 IEEE International Conference on Medical Artificial Intelligence (MedAI);2023-11-18
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