| 纸浆卡伯值光学测定中化学计量学方法的应用 |
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| 引用本文： | 沈文浩,谢益民,刘焕彬.纸浆卡伯值光学测定中化学计量学方法的应用[J].华南理工大学学报(自然科学版),2000,28(10):65-70. |
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| 作者姓名： | 沈文浩 谢益民 刘焕彬 |
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| 作者单位： | 华南理工大学,制浆造纸工程国家重点实验室,广东,广州,510640 |
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| 基金项目： | 广东省博士启动基金，970966;960281， |
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| 摘 要： | 用多元线性回归、逐步回归分析、主成分回归分析和人工神经网络这四种化学计量学方法处理蒸煮液的光谱数据，通过蒸煮液的吸光度来预测纸浆的卡伯值，结果显示：四种方法所确立的测量模型均具有较好的学习精度和预测精度，其中尤以人工神经网络模型同时具有较高的学习精度和预测鲁棒性。
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| 关 键 词： | 化学计量学 吸光度 卡伯值 纸浆分析 |
| 修稿时间： | 1999-10-19 |
The Application of Chemometric Methods in Optical Quantitative Determination of Pulp Kappa Number |
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| SHEN Wen-hao,XIE Yi-min,LIU Huan-bin.The Application of Chemometric Methods in Optical Quantitative Determination of Pulp Kappa Number[J].Journal of South China University of Technology(Natural Science Edition),2000,28(10):65-70. |
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| Authors: | SHEN Wen-hao XIE Yi-min LIU Huan-bin |
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| Abstract: | The pulp Kappa number is determined quantitatively by measurement of absorbance of cooking liquor. Four chemometric methods, namely, multivariable linear regression (MLR), stepwise regression analysis (SRA), principal component regression (PCR) and artificial neural network (ANN), are applied for data processing. The results of data processing show that the predicting models determined by the four methods all have good learning accuracy and predicting accuracy, and the best model of all is determined by artificial neural network. |
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| Keywords: | chemometrics model absorbance Kappa number |
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