DocumentCode
3261533
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
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
336
Lastpage
339
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/GRC.2008.4664683
Filename
4664683
Link To Document