Robotics & Machine Learning Daily News2024,Issue(Aug.2) :77-78.

Findings from Shenyang University of Technology Has Provided New Data on Machine Learning (Integrating Machine Learning and Electrochemistry: a Hybrid Sa-de-rf Approach for Optimizing Electrode Composition In Water Treatment)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :77-78.

Findings from Shenyang University of Technology Has Provided New Data on Machine Learning (Integrating Machine Learning and Electrochemistry: a Hybrid Sa-de-rf Approach for Optimizing Electrode Composition In Water Treatment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromShenyang, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “The imperative toaddress the b urgeoning challenge of industrial water pollution has catalyzed the pursuit of s ophisticatedtreatment methodologies capable of neutralizing non-biodegradable c ontaminants. This investigationfocuses on the optimization of Ti/SnO2-Sb-Ni ano de composition, leveraging a synergistic hybrid machinelearning strategy that i ntegrates Simulated Annealing (SA), Differential Evolution (DE), and Random Forest (RF) algorithms.”

Key words

Shenyang/People’s Republic of China/As ia/Chemicals/Chemistry/Cyborgs/Electrochemicals/Electrochemistry/Emerging Technologies/Machine Learning/Shenyang University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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