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Updated: Jun 15, 2025

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
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Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

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使用机器学习和响应表面方法论分析结构包装柱中的有效面积和质量转移

Amirsoheil Foroughi1, Kamyar Naderi1, Ahad Ghaemi2

  • 1School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, Tehran, 16846, Iran.

Scientific reports
|August 24, 2024
PubMed
概括

机器学习 (ML) 和响应表面方法 (RSM) 用于模拟二氧化碳吸收列中的质量转移系数. ML模型,特别是RBF和MLP,在微分有效面积,气体和液相质量转移系数方面表现出比RSM更好的预测能力.

关键词:
吸收二氧化碳的吸收方式机器学习 机器学习质量转移是指质量转移.响应表面的方法 响应表面方法结构化包装是一种结构化包装.

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