Title :
Application of RBF nerual network into prediction of nitrobenzene compound in toxicity
Author :
Jiang, HuiYu ; Dong, Min ; Yang, Feng
Author_Institution :
Dept. of Chem. Eng., Wuhan Univ. of Sci. & Eng., Wuhan
Abstract :
Forecast model of the nitrobenzene compound biological toxicity has been established based on the RBF neural network, the correlation coefficient between the predicted value and the actual value reaches 0.993. Prediction errorpsilas biggest absolute value is 0.34, the rest is under 0.20.So it is a good forecast mode of the nitrobenzene compound biological activity.
Keywords :
biology computing; radial basis function networks; RBF neural network; correlation coefficient; forecast model; nitrobenzene compound biological activity; nitrobenzene compound biological toxicity; nitrobenzene compound prediction; Biological system modeling; Biology; Chemical engineering; Chemical industry; Chemical processes; Network synthesis; Neural networks; Organic chemicals; Predictive models; Radial basis function networks;
Conference_Titel :
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2512-9
Electronic_ISBN :
978-1-4244-2513-6
DOI :
10.1109/GRC.2008.4664683
