Research from Shahid Chamran University of Ahvaz Provides New Data on Machine Le arning (Determination of creep function coefficients of viscoelastic pipes using a transient-guided machine learning model)

Ahvaz的Shahid Chamran大学的研究为机器学习提供了新的数据（用瞬态引导机器学习模型确定粘弹性管道的蠕变函数系数）

Robotics & Machine Learning Daily News2024，Issue(Nov.18) ：91-92.

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Research from Shahid Chamran University of Ahvaz Provides New Data on Machine Le arning (Determination of creep function coefficients of viscoelastic pipes using a transient-guided machine learning model)

Ahvaz的Shahid Chamran大学的研究为机器学习提供了新的数据（用瞬态引导机器学习模型确定粘弹性管道的蠕变函数系数）

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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-一项关于人工智能的新研究现在可用。根据消息来源NewsRx Cor的受访者来自伊朗阿瓦兹，研究称：“摘要：本研究引入了一种新的研究方法。”粘弹性管道蠕变函数系数估计的新框架机器学习(ML)和瞬态液压的结合。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news originatingfrom Ahvaz, Iran, by NewsRx cor respondents, research stated, “ABSTRACT: This study introduces anovel framework for the estimation of creep function coefficients in viscoelastic pipelines, em ploying acombination of machine learning (ML) and transient hydraulics.”

Key words

Shahid Chamran University of Ahvaz/Ahva z/Iran/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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