Robotics & Machine Learning Daily News2024,Issue(Nov.21) :81-81.

New Machine Learning Study Findings Reported from Naval University of Engineerin g (Research on Reactivity-Equivalent Physical Transformation Method for Double H eterogeneity in Pressurized Water Reactors Based on Machine Learning)

海军大学机器学习研究新发现工程力学(反应性等效物理研究加压双H表的变换方法基于机器学习的水堆

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :81-81.

New Machine Learning Study Findings Reported from Naval University of Engineerin g (Research on Reactivity-Equivalent Physical Transformation Method for Double H eterogeneity in Pressurized Water Reactors Based on Machine Learning)

海军大学机器学习研究新发现工程力学(反应性等效物理研究加压双H表的变换方法基于机器学习的水堆

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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-关于人工智能的研究结果在一份新的报告中讨论。根据研究称,NewsRx记者从中华人民共和国武汉进行的新闻报道,“压水堆的传统计算方法不能处理分散的燃料”颗粒的双非均质性和直接体积均质化可以导致显著的错误。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Wuhan, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Traditional c omputational methods for pressurized water reactors are unable to handle dispers ed fuelparticles as the double heterogeneity and the direct volumetric homogeni zation can result in significanterrors.”

Key words

Naval University of Engineering/Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learni ng

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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