Robotics & Machine Learning Daily News2024,Issue(Jun.13) :91-92.

Studies in the Area of Machine Learning Reported from South China University of Technology (A Stacking Machine-learning Based Method for Accelerating Magnetic C oupler Design With Ferrite Cores In Inductive Power Transfer Applications)

华南理工大学在机器学习领域的研究报告(一种基于堆叠机器学习的加速电感功率传输中铁氧体磁芯磁耦合器设计方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :91-92.

Studies in the Area of Machine Learning Reported from South China University of Technology (A Stacking Machine-learning Based Method for Accelerating Magnetic C oupler Design With Ferrite Cores In Inductive Power Transfer Applications)

华南理工大学在机器学习领域的研究报告(一种基于堆叠机器学习的加速电感功率传输中铁氧体磁芯磁耦合器设计方法)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据NewsRx记者从广州发回的新闻报道,研究表明:“本文提出了一种基于叠加机器学习算法的WPT系统磁耦合器设计方法,利用ANSYS Maxwell生成的综合数据集对机器学习模型进行训练和评估。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting from Guangzhou, People's Rep ublic of China, by NewsRx journalists, research stated, “This paper presents a m agnetic coupler design method for WPT systems based on stacking machine-learning algorithms. A synthetic dataset generated by ANSYS Maxwell is used for training and evaluating machinelearning models.”

Key words

Guangzhou/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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