Robotics & Machine Learning Daily News2024，Issue(Jun.6) ：67-67.

Findings from Dalian University of Technology in the Area of Machine Learning De scribed (Machine Learning Accelerated Mmcbased Topology Optimization for Sound Quality Enhancement of Serialized Acoustic Structures)

大连理工大学在机器学习领域的发现(基于机器学习加速mmc的串联声学结构声品质增强拓扑优化)

Robotics & Machine Learning Daily News2024，Issue(Jun.6) ：67-67.
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Findings from Dalian University of Technology in the Area of Machine Learning De scribed (Machine Learning Accelerated Mmcbased Topology Optimization for Sound Quality Enhancement of Serialized Acoustic Structures)

大连理工大学在机器学习领域的发现(基于机器学习加速mmc的串联声学结构声品质增强拓扑优化)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据来自中国人民共和国大连的新闻，NewsRx记者的研究表明，“产品设计的一个关键要求是能够快速有效地捕捉结构的物理特征，实现这一目的的一个方法是使用机器学习来支持拓扑优化。”本研究的资金来源包括国家自然科学基金(NSFC)、国家自然科学基金(NSFC)、辽宁振兴人才计划、中央大学基础研究基金、长江大学学者与创新研究团队计划(PCSIRT)、教育部-111项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Dalian, People’s Repub lic of China, by NewsRx correspondents, research stated, “A key requirement for product design is the ability to capture the physical features of structures qui ckly and efficiently. One way to achieve this purpose is to use machine learning to support topology optimization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Liao Ni ng Revitalization Talents Program, Fundamental Research Funds for the Central Un iversities, Program for Changjiang Scholars & Innovative Research Team in University (PCSIRT), Ministry of Education, China - 111 Project.

Key words

Dalian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Dalian University of Technol ogy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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