Robotics & Machine Learning Daily News2024,Issue(Jun.12) :66-66.

Researchers from Tianjin University Detail Findings in Machine Learning (A Hybrid Approach of Anaerobic Digestion Model No. 1 and Machine Learning To Model and Optimize Continuous Anaerobic Digestion Processes)

天津大学的研究人员详细介绍了机器学习的发现(一种厌氧消化模型1和机器学习的混合方法来模拟和优化连续厌氧消化过程)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :66-66.

Researchers from Tianjin University Detail Findings in Machine Learning (A Hybrid Approach of Anaerobic Digestion Model No. 1 and Machine Learning To Model and Optimize Continuous Anaerobic Digestion Processes)

天津大学的研究人员详细介绍了机器学习的发现(一种厌氧消化模型1和机器学习的混合方法来模拟和优化连续厌氧消化过程)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据NewsRx记者在天津的新闻报道,研究表明:“厌氧消化是处理可降解废物和废水的一种很有前景的方法,产生沼气作为替代能源。本文提出了一种将机器学习和1号(ADM1)厌氧消化模型相结合的连续厌氧消化模拟M-CADM1.”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “Anaerobic digestion is a promising approach to dispose of biodegradable waste and wastewater, generating biogas as an alternative energy resource. This work proposed a so-called M-CADM1 for continuous anaerobic digestion simulation, which combined the machine learning an d anaerobic digestion model No.1 (ADM1).”

Key words

Tianjin/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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