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QSAR Studies on PCDD/Fs by Kernel PLS 被引量:1
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作者 tang kai-lin li tong-hua chen kai 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 2008年第5期541-545,共5页
QSPR models of PCDD/Fs were generated by means of kernel partial least squares. The molecular distance-edge vector method was used as descriptors to get model I for predicting PCDD/Fs retention behavior. The chlorinat... QSPR models of PCDD/Fs were generated by means of kernel partial least squares. The molecular distance-edge vector method was used as descriptors to get model I for predicting PCDD/Fs retention behavior. The chlorinated positions were also used and model II was obtained. In studied cases, the predictive ability of the KPLS model is comparable or superior to those of PLS and ANN. The results indicate that KPLS can be used as an alternative powerful modeling tool for QSPR studies. 展开更多
关键词 QSPR modeling Kernel partial least squares PCDD/FS
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