Robotics & Machine Learning Daily News2024,Issue(Nov.12) :34-35.

Research Data from Anhui University Update Understanding of Machine Learning (Ke y feature identification of internal kink mode using machine learning)

安徽大学研究数据更新对机器学习的理解(基于机器学习的内部扭结模式的特征识别)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :34-35.

Research Data from Anhui University Update Understanding of Machine Learning (Ke y feature identification of internal kink mode using machine learning)

安徽大学研究数据更新对机器学习的理解(基于机器学习的内部扭结模式的特征识别)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据消息来源来自中华人民共和国安徽,由NewsRx记者报道,研究表明,“内部扭结”模式是影响磁约束聚变装置稳定性的关键因素之一。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news originatingfrom Anhui, People’s Republic of China, by NewsRx correspondents, research stated, “The internal kinkmode is on e of the crucial factors affecting the stability of magnetically confined fusion devices.”

Key words

Anhui University/Anhui/People’s Republ ic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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