期刊文献+

基于MATLAB平台集成开发红外光谱建模工具包

A MATLAB based toolbox for development of infrared spectra model
原文传递
导出
摘要 基于MATLAB平台集成开发了一个红外光谱建模工具包。工具包按照软件工程思想,包括光谱文件存取整合模块、预处理模块(谱图处理、目标物质浓度处理)、波段优化模块、建模模块、模型评价模块等5个模块,实现了光谱文件存取整合、光谱预处理、波段选择与优化、建模、评价等多项功能,并提供了一个直观可视、便于操作的图形用户界面(Graphical User Interface,GUI),从而让红外光谱建模工作变得简单、易上手,大大减轻了医药研究相关人员的工作量。并以中药材枸杞中铜元素的含量分析为例,展示了该红外光谱建模工具包的简单使用方法。 A MATLAB based toolbox for development of infrared spectra modal was programmed. On the basis of SE (Software Engineering) mindset, five modules were included in the toolbox, which are spectra file save/load integrated module, preprocessing module (preprocessing of spectra and object data), spectra optimizing module, model developing module, and model evaluation module. Many functions were implemented in this toolbox, including file access, spectra pretreatment, band selection and optimization, model development and evaluation. It also has a visual, intelligible, easy operating graphical user interface. With this toolbox, the medical researchers can easily and comfortably handle the model development. Thus, their workload and labor will be considerably reduced. An example was given to explain the use of the toolbox, which is determination of the content of Cu in Lycium barbarum.
出处 《计算机与应用化学》 CAS 2016年第3期299-303,共5页 Computers and Applied Chemistry
基金 国家自然科学基金资助项目(No.81274059) 广东省自然科学基金资助项目(No.S2012010009166) 广州市珠江科技新星基金资助项目(No.2014J2200021) 广东省教育厅优秀青年教师基金资助项目(Yq2013102)
关键词 化学计量学 红外光谱 MATLAB 软件开发 chemometrics infrared spectra MATLAB soRware development
  • 相关文献

参考文献17

  • 1Brown S D, Tauler R and Walczak B. Comprehensive chemometrics: chemical and biochemical data analysis[M]. Amsterdam: Elsevier, 2009, 459-463.
  • 2Leardi R, Norgaard L. Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions[J]. Journal of Chemometrics, 2004, 18(11):486-497.
  • 3Breiman L. Random forests[J]. Machine Learning, 2001, 45(1): 5-32.
  • 4Wold S, Albano C, Dunn 1II W J, et al. Multivariate data analysis in chemistry[M]. Chemometrics. Amsterdam: Springer Nether- lands, 1984:17-95.
  • 5Cortes C, Vapnik V. Support vector networks[J]. Machine Learning, 1995, 20(3):273-297.
  • 6Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9(3): 293-300.
  • 7张小青,徐智,凌晓锋,徐怡庄,吴瑾光.红外光谱技术在医学中的应用[J].光谱学与光谱分析,2010,30(1):30-34. 被引量:14
  • 8芦锰,樊克峰,白雁,孙素琴.红外光谱技术在中药整体质量评价中的应用[J].河南中医,2004,24(11):78-79. 被引量:13
  • 9王桂清,刘敏娜.红外光谱技术的近代进展及其应用[J].现代仪器,2002,38(2):1-4. 被引量:11
  • 10段慧琦,陆晓华.MATLAB在化学计量学中的应用[J].分析科学学报,2003,19(1):86-89. 被引量:19

二级参考文献71

共引文献153

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部