首页|Hunan Agricultural University Reports Findings in Machine Learning [Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments]

Hunan Agricultural University Reports Findings in Machine Learning [Predicting Cd(II) adsorption capacity of biochar materials using typical machine learning models for effective remediation of aquatic environments]

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Hunan, People’s Republ ic of China, by NewsRx correspondents, research stated, “The screening and desig n of ‘green’ biochar materials with high adsorption capacity play a pivotal role in promoting the sustainable treatment of Cd(II)-containing wastewater. In this study, six typical machine learning (ML) models, namely Linear Regression, Rand om Forest, Gradient Boosting Decision Tree, Cat- Boost, K-Nearest Neighbors, and B ackpropagation Neural Network, were employed to accurately predict the adsorptio n capacity of Cd(II) onto biochars.”

HunanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.28)