Forecast the Biological Activity of Nitrobenzene Compound Based on BP Neural Network

被引:0
|
作者
Jiang, HuiYu [1 ]
Jiang, HuiYong [2 ]
Wei, Tao [3 ]
Yang, Feng [1 ]
机构
[1] Wuhan Univ Sci & Engn, Dept Chem Engn, Wuhan 430073, Peoples R China
[2] Wujing Middle Sch Linqu, Shandong 262603, Peoples R China
[3] No 4 Middle Sch Linqu, Shandong 262603, Peoples R China
来源
PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS | 2008年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
At present, the multivariate linear regression analysis was adopted in the biological toxicity forecast through establishment equation of the QSAR mostly, but the error forecasted was big in many situations because of the complexity and nonlinearity of structure-activity relationship, and it has a high request to the sample selection, In this paper forecast model of the nitrobenzene compound biological toxicity has been established based on the Levenberg_Marquardt BP neural network in this paper, The studies suggest that the BP network has the strong misalignment to approach ability, the fitting precision is good between the output and the sample, the result is better using the BP network to forecast, the correlation coefficient has achieved 0.999, the prediction error in the permission scope, the biggest absolute value of error is 0.05 in this parper. So it is a good forecast mode of the nitrobenzene compound biological activity.
引用
收藏
页码:1056 / +
页数:2
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