首页|Study Data from Tongji University Update Understanding of Machine Learning (Prediction of Phosphate Adsorption Amount, Capacity and Kinetics Via Machine Learning: a Generally Physicalbased Process and Proposed Strategy of Using Descriptive …)

Study Data from Tongji University Update Understanding of Machine Learning (Prediction of Phosphate Adsorption Amount, Capacity and Kinetics Via Machine Learning: a Generally Physicalbased Process and Proposed Strategy of Using Descriptive …)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The use ofmachine learning to predict phosphate adsorption performance by specific adsorbent holds great promisedue to its ability to save time and reveal underlying mechanisms. However, the small size of the dataset,caused by the insufficient detailed information, limits the ability to fully train the model and obtain accurateand generalizable results.”

ShanghaiPeople’s Republic of ChinaAsiaAnionsCyborgsEmerging TechnologiesMachine LearningPhosphatesPhosphoric AcidsTongji University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.22)