Robotics & Machine Learning Daily News2024,Issue(Jul.4) :47-48.

New Machine Learning Study Findings Reported from Zhejiang University (Proposing an inherently interpretable machine learning model for shear strength predictio n of reinforced concrete beams with stirrups)

浙江大学机器学习研究的新成果(提出了一种钢筋混凝土带箍梁抗剪强度预测的可解释机器学习模型)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :47-48.

New Machine Learning Study Findings Reported from Zhejiang University (Proposing an inherently interpretable machine learning model for shear strength predictio n of reinforced concrete beams with stirrups)

浙江大学机器学习研究的新成果(提出了一种钢筋混凝土带箍梁抗剪强度预测的可解释机器学习模型)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。据《中国人民日报杭州消息》报道,NewsRx记者报道,“先进的机器Learning(ML)模型被用于再生混凝土梁(RCB)抗剪强度的精确预测,但由于缺乏可解释性,使得模型无法做出具体预测,降低了模型的可靠性和适用性。主流模型不可知解释方法需要大量额外的计算程序,限制了解释效率。”模型制作过程仍然未知。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Hangzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Advanced machine le arning (ML) models are utilized for accurate shear strength prediction of reinfo rced concrete beams (RCB), but their lack of interpretability makes it unclear h ow models make specific predictions, reducing their reliability and applicabilit y. Mainstream model-agnostic interpretation methods require numerous additional computing procedures, limiting the interpretation efficiency, and the model pred iction process remains unknown.”

Key words

Zhejiang University/Hangzhou/People’s Republic 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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