人工神经网络在表面张力数据处理中的应用  

APPLICATION OF ARTIFICIAL NEURAL NETWORK\=IN DATA PROCESSING FOR SURFACE\=TENSION MEASUREMENTS

作　　者：袁军[1] 向建敏[1] 艾军[1] 蒋子铎 

机构地区：[1]武汉化工学院制药系

出　　处：《计算机与应用化学》1999年第3期211-212,218,共3页Computers and Applied Chemistry

摘　　要：用人工神经网络方法进行表面张力的数据处理，并对网络直接求导，得到表面过剩吸附量与浓度的数学关系，直接可推出表面饱和吸附量，从而得到了正丁醇的横截面积为２０×１０－１９ｍ２。Artificial neural network is applied in the data processing for surface tension measurements.The relationship between the excessive capacity of absorption in surface and the concentration can be obtained by derivation of the neural network,the saturated capacity of absorption in surface can be calculated.The method proposed in this paper is applied in the surface tension measurements for the nbutanol\|water system,the transverse section area of nbutanol is calculated to be 2010-19m2.

关 键 词：人工神经网络 表面张力 数据结构 正丁醇溶液 

分 类 号：O647.1[理学—物理化学] O645.161[理学—化学]