p.550
p.558
p.563
p.569
p.574
p.579
p.585
p.591
p.596
Application of BP Neural Network into the Kow of Chemical Contaminants
Abstract:
The octanol / water partition coefficient (Kow) is an important physical parameters to describe their behavior in the environment. However, because of some reasons, it is difficult to determine the octanol / water partition coefficient of each compound accurately. In this paper, we will introduce RBF neural network and molecular bond connectivity index to forecast the solubility of organic compounds in water. The result is better using the BP network to predict, the correlation coefficient has achieved 0.998, the prediction error in the permission scope.
Info:
Periodical:
Pages:
574-578
Citation:
Online since:
June 2010
Authors:
Keywords:
Price:
Сopyright:
© 2010 Trans Tech Publications Ltd. All Rights Reserved
Share:
Citation: