[1]LIU Wei,LIU Zan,Wang Lingling.Neural network and structural coding method to predict the chromatographic retention index of straight-run gasoline[J].Journal of Zhengzhou University (Engineering Science),2004,25(03):26-28.[doi:10.3969/j.issn.1671-6833.2004.03.007]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
25卷
Number of periods:
2004年03期
Page number:
26-28
Column:
Public date:
1900-01-01
- Title:
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Neural network and structural coding method to predict the chromatographic retention index of straight-run gasoline
- Author(s):
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LIU Wei; LIU Zan; Wang Lingling
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- Keywords:
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- CLC:
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- DOI:
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10.3969/j.issn.1671-6833.2004.03.007
- Abstract:
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The molecular structure of monomeric hydrocarbons in straight-run gasoline is digitally encoded, and the nonlinear correlation model between the gas chromatographic retention index and its molecular structure of monomeric hydrocarbons in straight-run gasoline is constructed by error backpropagation neural network algorithm, the neural network structure is 3 layers, the hidden layer nodes are 7, there are 15 inputs, corresponding to the 15-bit digital code of the monomer hydrocarbons, and 1 output, corresponding to the gas chromatographic retention index. The prediction results show that the correlation coefficient and standard deviation obtained by the error back-transmission algorithm are better than those obtained by the multiple linear regression method.