文献类型：期刊文献

中文题名：人工神经网络方法预测乙烷氟氯衍生物的常压沸点

英文题名：PREDICTION FOR BOILING POINTS OF FLUORINE,CHLORINE-SUBSTITUTED ETHANE DERIVATIVES WITH ARTIFICIAL NEURAL NETWORK METHOD

作者：吕庆章[1];杨书廷[1];曹益林[1];王晓钰[2]

第一作者：吕庆章

机构：[1]河南师范大学化学系;[2]新乡师范高等专科学校化学系

第一机构：河南师范大学化学系,新乡453002

年份：1996

卷号：47

期号：2

起止页码：244-247

中文期刊名：化工学报

外文期刊名：Journal of Chemical Industry and Engineering(China)

收录：CSTPCD;;Scopus;北大核心:【北大核心1992】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：人工神经网络;BP算法;沸点预测;乙烷氟氯衍生物

外文关键词：artificial neural network,back-propagation algorithm,boiling point prediction,fluorine-chlorine-substituted ethane de

摘要：The back-propagation algorithm used in artificial neural networks was usled to predict the boiling points of the fluorine-chlorine-substituted ethane derivatives.Using two inertia terms for adjustment of weights and automatic learning step control,the network used a short time for learning.The program was written in FORTRAN.The compiler is NDP FORTRAN.
The back-propagation algorithm used in artificial neural networks was usled to predict the boiling points of the fluorine-chlorine-substituted ethane derivatives.Using two inertia terms for adjustment of weights and automatic learning step control,the network used a short time for learning.The program was written in FORTRAN.The compiler is NDP FORTRAN.