کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1163085 1490923 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A local pre-processing method for near-infrared spectra, combined with spectral segmentation and standard normal variate transformation
ترجمه فارسی عنوان
یک روش پیش پردازش محلی برای طیف های نزدیک به مادون قرمز، همراه با تقسیم بندی طیفی و تبدیل استاندارد متنوع نرمال
کلمات کلیدی
طیف سنجی نزدیک به مادون قرمز، پیش پردازش استاندارد عادی متنوع، روش محلی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• A local pre-processing algorithm is proposed for near-infrared spectra.
• The optimal segmentation of local areas can be automatically determined by a cross validation scheme.
• Experiments show that the proposed local method outperformed the full range pre-processing methods.
• The proposed method has no manual parameter and can be easily used in many applications.

Pre-processing of near-infrared (NIR) spectral data has become a necessary part of chemometrics modeling and is widely used in many practical applications. The objective of the pre-processing is to remove physical phenomena in the spectra in order to improve subsequent qualitative or quantitative analysis. Herein, a localized version of standard normal variate (SNV) is proposed, in which the correction parameters are estimated from local spectral areas. The method of determining the optimal spectral segmentation is also presented. Compared with full range methods, the local method demonstrates advantages in spectral linearity correction, model interpretation and prediction accuracy. Several benchmark NIR data sets were studied in our experiments; the proposed method achieved comparable performance against proven full range methods, with the reduction of prediction errors being statistically significant in many cases.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 909, 25 February 2016, Pages 30–40
نویسندگان
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