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提高二甲苯3种同分异构体预测模型准确性的相关系数法
Adopting the Method of Correlation Coefficient to Improve the Accuracy of the Xylene Isomer’s Prediction Model
【摘要】 对多组分混合物近红外光谱的相关系数进行了细致的研究,指出了多组分近红外光谱中相关系数的特点;证明了采用相关系数较高的波段建立模型会得到更理想预测值的原理;并用对二甲苯、间二甲苯、邻二甲苯混合溶液的处理对原理进行了验证。
【Abstract】 This paper focuses on the detailed researches on the correlation coefficient in near infrared spectrum and points out its characteristics in multi-component solution; the paper also proves the principle of obtaining more accurate results when using high correlation coefficient for model building, and presents a practical experiment to test the conclusions by using para-xylene, meta-xylene, and ortho-xylene’s mixture.
【关键词】 近红外;
相关系数;
同分异构体;
二甲苯;
间二甲苯;
邻二甲苯;
建模;
【Key words】 Near infrared (NIR) spectrum; The correlation coefficient; Isomer; Para-xylene; Meta-xylene; Ortho-xylene; ~Model building;
【Key words】 Near infrared (NIR) spectrum; The correlation coefficient; Isomer; Para-xylene; Meta-xylene; Ortho-xylene; ~Model building;
- 【文献出处】 光谱学与光谱分析 ,Spectroscopy and Spectral Analysis , 编辑部邮箱 ,2005年01期
- 【分类号】O625
- 【被引频次】3
- 【下载频次】134