摘要
用2×2×1结构的BP神经网络计算了脂肪酸酯 超临界CO2体系的液相相边界溶解度数据,用2×4×2结构的BP神经网络对相平衡数据进行了计算,计算结果比较令人满意。同时对神经网络计算过程中涉及的一些参数也进行了讨论。
Based on the data of phase boarders of systems containing supercritical carbon dioxide and fatty acid esters,the phase equilibria data for these systems are obtained using BP artificial neural network with 2×2×1 frame,and correlated well using BP artificial neural network with 2×4×2 frame. The parameters involved in the calculations are discussed.
出处
《南京工业大学学报（自然科学版）》
CAS
2003年第3期56-61,共6页
Journal of Nanjing Tech University(Natural Science Edition)
