期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Quantitative Structure-biodegradability Relationship Study about the Aerobic Biodegradation of Some Aromatic Compounds 被引量:1
1
作者 荆国华 李小林 周作明 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 2011年第3期368-375,共8页
10 quantum chemical descriptors of 21 aromatic compounds have been calculated by the semi-empirical quantum chemical method AM1. The Quantitative Structure-Biodegradability Relationships (QSBR) studies were performe... 10 quantum chemical descriptors of 21 aromatic compounds have been calculated by the semi-empirical quantum chemical method AM1. The Quantitative Structure-Biodegradability Relationships (QSBR) studies were performed by the multiple linear regression (MLR), principal component regression (PCR) and back propagation artificial neural network (BP-ANN), respectively. The root mean square error (RMSE) of the training and validation sets of the BP-ANN model are 0.1363 and 0.0244, the mean absolute percentage errors (MAPE) are 0.1638 and 0.0326, the squared correlation coefficients (R^2) are 0.9853 and 0.9996, respectively. The results show that the BP-ANN model achieved a better prediction result than those of MLR and PCR. In addition, some insights into the structural factors affecting the aerobic biodegradation mechanism were discussed in detail. 展开更多
关键词 aromatic compounds quantitative structure-biodegradability relationships multiple linear regression principal component regression artificial neural network
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部