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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.35
