共 1 条
改良人工神经网络方法预测烷烃物理性质
被引:7
作者:
刘树深
杨万平
曹展忠
李志良
机构:
[1] 桂林工学院应用化学系!桂林
[2] 湘潭师范学院化学系!湘潭
[3] 湖南大学化学化工学院!长沙
来源:
关键词:
分子距离边数(MDE)矢量;
改良反传人工神经网络;
烷烃;
物理性质;
D O I:
暂无
中图分类号:
O621 [有机化学一般性问题];
学科分类号:
070303 ;
081704 ;
摘要:
A quantative relationship exists between the structrue and physical properties of organic compounds.The molecular structrue of the examined compounds is selectively described by a molecular distance-edge(MDE)vector.The physical properties of alkanes such as boiling points,density at 25℃,refractive index at 25℃, heat capacity at 300K,Gibbs energy,enthalpy at 300K are estimated with satisfactory results by a novel modified back- propagation neural network method based on the above MDEvectot.
引用
收藏
页码:245 / 250
页数:6
相关论文