摘要
将神经网络应用于液固体系相平衡,建立了283K和288K下Na2SO4-H2O2-H2O三元体系的BP神经网络模型,网络的训练结果偏差平方和分别为7 2×10-5和4 1×10-5,网络模型仿真的结果与实验值能够很好的吻合,所建能较好地描述该体系液固相平衡的溶解度数据.
In this paper,Neural network was applied to solid-liquid phase equilibrium.BP neural network model was constructed for the Na_2SO_4-H_2O_2-H_2O ternary system at 283 K and 288K.The trained results of the network showed that sum of squares of deviation were 7.2×10^(-5) and 4.1×10^(-5),respectively.Simulation results were well agreement with that of experiment.
出处
《商丘师范学院学报》
CAS
2004年第5期6-9,共4页
Journal of Shangqiu Normal University
基金
河南省科技厅科技攻关计划项目(0124090444).
