CAJ | 학술논문

在matlab环境下利用libsvm软件包建立利用烤烟化学指标对烤烟评吸质量预测的支持向量机模型，利用MIV法筛选变量，选取挥发性酸、石油醚提取物、钾、还原糖、烟碱为模型输入变量；参数优化后最佳c值为0.10882，g值为9.1896；训练样本预测值与实际值的相关系数R为0.9903，测试样本预测值与实际值的相关系数R为0.9966；预测误差分布在[-1,1]。以上结果说明预测模型是可靠的，能够为烤烟评吸质量的评价提供参考。
재matlab배경하이용libsvm연건포건립이용고연화학지표대고연평흡질량예측적지지향량궤모형，이용MIV법사선변량，선취휘발성산、석유미제취물、갑、환원당、연감위모형수입변량；삼수우화후최가c치위0.10882，g치위9.1896；훈련양본예측치여실제치적상관계수R위0.9903，측시양본예측치여실제치적상관계수R위0.9966；예측오차분포재[-1,1]。이상결과설명예측모형시가고적，능구위고연평흡질량적평개제공삼고。
Support vector machine (SVM) which was used to predict smoking quality based on chemical index of flue-cured tobacco was established by using libsvm software package in Matlab environment. Volatile acid, extractable petroleum ether, potassium, reducing sugar and nicotinamide were taken as input variables by using MIV algorithm. Optimal C value was 0.10882, g value was 9.1896 and correlation coefficient R was 0.9903 for training samples and 0.9966 for testing samples. Predicted error was distributed in the [-1,1]. Results showed that the prediction model is reliable and capable of providing reference for smoking quality evaluation.