Robotics & Machine Learning Daily News2024,Issue(Nov.20) :22-23.

Studies from Nanjing Agricultural University Provide New Data on Machine Learnin g (Prediction of Phenol Yield By Machine Learning Based On Biomass Characteristi cs, Pyrolysis Conditions, and Catalyst Properties)

南京农业大学的研究为机器学习(基于生物质特性、热解条件和催化剂特性的机器学习预测苯酚产率)提供了新的数据

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :22-23.

Studies from Nanjing Agricultural University Provide New Data on Machine Learnin g (Prediction of Phenol Yield By Machine Learning Based On Biomass Characteristi cs, Pyrolysis Conditions, and Catalyst Properties)

南京农业大学的研究为机器学习(基于生物质特性、热解条件和催化剂特性的机器学习预测苯酚产率)提供了新的数据

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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提供。据新闻报道来自南京的报道由NewsRx记者,研究苯酚是生物质热解过程中最有价值的化工原料之一。用传统的实验方法生产既费时又不经济。

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 from Nanjing, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Phenol is one of the most valuable chemicals from biomass pyrolysis. The study of phenol production is timeconsuming and uneconomical by traditional experiments.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Phenols/Nanjing Agricultur al University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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