Robotics & Machine Learning Daily News2024,Issue(Dec.4) :7-8.

Reports on Machine Learning from Hunan University Provide New Insights (Develop Machine Learning-based Model and Automated Process for Predicting Liquid Heat Ca pacity of Organics At Different Temperatures)

湖南大学关于机器学习的报告提供了新的见解(开发基于机器学习的模型和自动过程预测有机物在不同温度下的液态热容量)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :7-8.

Reports on Machine Learning from Hunan University Provide New Insights (Develop Machine Learning-based Model and Automated Process for Predicting Liquid Heat Ca pacity of Organics At Different Temperatures)

湖南大学关于机器学习的报告提供了新的见解(开发基于机器学习的模型和自动过程预测有机物在不同温度下的液态热容量)

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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-机器学习的新数据在一份新的报告中呈现。据新闻报道研究称,NewsRx记者源于中华人民共和国湘潭的报道,“化合物的热容是热力学、化学过程中的重要参考参数,”能量储存,传热,热交换。然而,大多数液态化合物的热容数据由于DAT A的可用性有限及其实验测量的复杂性,这些数据缺失。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Xiangtan, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Heat capacity of compounds is an important reference parameter in thermodynamic, chemical proc esses,energy storage, heat transfer, heat exchange. However, the heat capacity data of most liquid compoundsare missing due to the limited availability of dat a and the complexity of its experimental measurement.”

Key words

Xiangtan/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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