通过使用各种训练算法,通过深度神经网络研究纹理性质对通过多孔碳中CO2吸附的影响

Pardis Mehrmohammadi1, Ahad Ghaemi2

  • 1School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Tehran, 16765-193, Iran.

Scientific reports
|December 1, 2023
PubMed
概括

这项研究使用多层感知子 (MLP) 神经网络来模拟二氧化碳 (CO2) 在多孔碳体上的吸附. 莱文伯格-马奎特 (LM) 算法在预测二氧化碳捕获方面表现出卓越的准确性和效率.

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