首页|South China University of Technology Reports Findings in Machine Learning (Using machine learning to explore oxyanion adsorption ability of goethite with different specific surface area)
South China University of Technology Reports Findings in Machine Learning (Using machine learning to explore oxyanion adsorption ability of goethite with different specific surface area)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“In this study, we developed prediction models for the adsorption of divalent and trivalent oxyanions ongoethite based on machine learning algorithms. After verifying the reliability of the models, the importanceof goethite specific surface area (SSA) and the average oxyanion adsorption capacities of goethite withdifferent SSAs were calculated by shapley additive explanations (SHAP) importance analysis and partialdependence (PD) analysis.”
GuangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning