Recent Findings from University of Moratuwa Provides New Insights into Machine L earning (Machine Learning Techniques for Predictive Modelling and Uncertainty Qu antification of the Mechanical Properties of Woven Carbon Fibre Composites)

莫拉图瓦大学最近的发现为机器学习(机织碳纤维复合材料力学性能预测建模和不确定性消除的机器学习技术)提供了新的见解

Robotics & Machine Learning Daily News2024，Issue(Nov.29) ：28-29.

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Recent Findings from University of Moratuwa Provides New Insights into Machine L earning (Machine Learning Techniques for Predictive Modelling and Uncertainty Qu antification of the Mechanical Properties of Woven Carbon Fibre Composites)

莫拉图瓦大学最近的发现为机器学习(机织碳纤维复合材料力学性能预测建模和不确定性消除的机器学习技术)提供了新的见解

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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-研究人员详细介绍机器学习的新数据。根据来自斯里兰卡莫拉图瓦，《新闻日报》的研究指出：“碳纤维复合材料由于其独特的性能而机械性能指其成分、纤维和树脂的特性。何维弗这些单个成分性质的不确定性会在宏观尺度上引入显著的变化复合材料的机械性能"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromMoratuwa, Sri Lanka, by NewsRx journ alists, research stated, “Carbon fibre composites owe their exceptionalmechanic al properties to the characteristics of their constituents; fibres and resin. Ho wever,uncertainty in these individual constituent properties can introduce sign ificant variations in the macroscalemechanical performance of composites.”

Key words

Moratuwa/Sri Lanka/Asia/Cyborgs/Emer ging Technologies/Machine Learning/University of Moratuwa

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出版年

2024

Robotics & Machine Learning Daily News

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