DocumentCode
478107
Title
A Research to Retention Index of Saturated Alcohols Based on BP Neural Networks
Author
Jiang, HuiYu ; Dong, Min ; Yang, Feng
Author_Institution
Inst. of Chem. Eng., Wuhan Univ. of Sci. & Eng., Wuhan
Volume
2
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
272
Lastpage
275
Abstract
A model of back_propagation artificial neural network based on Levenberg_Marquardt algorithm for determining the relations between the structure of alcohols and their chromatographic retention indix has been set by means of topological indices. The forecasting results are good when it makes use of the BP neural network to carry out the forecasting, the correlation coefficient has reached 0.999. Therefore,the model is a more satisfactory method for prediction of chromatographic retention indices of organic compounds.
Keywords
backpropagation; chemistry computing; chromatography; forecasting theory; neural nets; organic compounds; BP neural networks; Levenberg-Marquardt algorithm; backpropagation artificial neural network; chromatographic retention index; forecasting; saturated alcohols; Artificial neural networks; Chemical engineering; Computer networks; Equations; Error correction; Linear regression; Network topology; Neural networks; Organic compounds; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.35
Filename
4666999
Link To Document