节点文献
BP网络与NRTL方程在汽液平衡数据预测中的比较研究
A comparative study between BP neural network and NRTL equation in the prediction of the vapor-liquid phase equilibrium data
【摘要】 用BP神经元网络,对乙醇-环己烷二元体系的汽液相平衡数据进行关联和预测,并用三参数NRTL方程的关联及预测结果进行对比研究.结果表明,BP神经元网络对汽液平衡数据的关联和预测结果在精度上均明显优于NRTL方程。
【Abstract】 The vapor-liquid phase equilibrium data of binary system of ethanol-cyclohexane has been correlated and predicted by means of BP neural network.In addition,a comparative study between the correlation of three parame-ter NRTL equation counteracting and the predicted result has been made.The result shows that BP neural network is obviously superior to NRTL equation in terms of accuracy.
【关键词】 BP神经元网络；
NRTL方程；
相平衡；
关联和预测；
【Key words】 BP neural network； NRTL equation； phase equilibrium； correlation and prediction；
【Key words】 BP neural network； NRTL equation； phase equilibrium； correlation and prediction；
- 【文献出处】 高师理科学刊 ,Journal of Science of Teachers’ College and University , 编辑部邮箱 ,2007年01期
- 【分类号】O642.42
- 【被引频次】5
- 【下载频次】187