,

Mochammad Faqih1, Madiah Binti Omar1, Rafi Jusar Wishnuwardana1

  • 1Department of Chemical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.

PubMed
概括

本研究介绍了使用极端梯度提升 (XGBoost) 来优化气体甜化溶剂成分的预测模型. 这些模型准确地预测了酸气去除和溶剂混合,提高了工业应用的效率.

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