Robotics & Machine Learning Daily News2024,Issue(Jun.11) :39-40.

Findings from Zhejiang University of Technology in the Area of Machine Learning Described (Hydrodynamic Characteristics of Coral Nursery Buoyancy System and Pre diction Using Machine Learning Methods Under Wave Action)

描述了浙江工业大学在机器学习领域的发现(珊瑚苗圃浮力系统的流体力学特性和波浪作用下机器学习方法的预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :39-40.

Findings from Zhejiang University of Technology in the Area of Machine Learning Described (Hydrodynamic Characteristics of Coral Nursery Buoyancy System and Pre diction Using Machine Learning Methods Under Wave Action)

描述了浙江工业大学在机器学习领域的发现(珊瑚苗圃浮力系统的流体力学特性和波浪作用下机器学习方法的预测)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx编辑对杭州外的新闻报道,研究表明:“浮力系统是保证浮珊瑚苗圃安全稳定、降低珊瑚脱落速率的关键结构。首先,在波浪水槽中进行了四种不同结构类型和水下状态下浮珊瑚系统运动响应特性的实验研究。”以浮力系统为实验对象。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Hangzhou, People’s Republic o f China, by NewsRx editors, research stated, “The buoyancy system is a critical structure that ensures the safety and stability of the floating coral nursery an d reduces the rate of coral shedding. Firstly, experiments in a wave tank were c onducted on the motion response characteristics of the buoyancy system with four different structural types and submerged states, using the buoyancy system as t he experiment object.”

Key words

Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang 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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