Citation:
ZHOU Peng, MEI Hu, TIAN Fei-Fei, LI Zhi-Liang. Application of Support Vector Machine to Prediction of Refractive Index for High Molecular Weight Polymers[J]. Chinese Journal of Applied Chemistry,
;2006, 23(12): 1410-1412.
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Support vector machine(SVM) was employed in quantitative structure-property relationship(QSPR) study for analyzing the refractive indices(n) of 95 high molecular weight polymers.Comparisons was systematically made based on the results obtained with different methods of multiple linear regression(MLR),artificial neural network(ANN) and ones reported in literatures.It is suggested that SVM possesses both high modeling stability and good generalization ability,especially when applied to investigating both nonlinear systems and small samplings,yielding superior modeling results.The cumulative multiple correlation coefficient r2,cumulative cross-validated q2 and external qext2 are 0.943,0.938 and 0.919, respectively.Therefore it is believed that SVM has broad prospects and wide applications for the evaluation of polymer properties.
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