Quantitative Determination of the Fiber Components in Textiles by Near-Infrared Spectroscopy and Extreme Learning Machine
Author:
Affiliation:
1. Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan, China;
2. Hospital, Yibin University, Yibin, Sichuan, China;
3. Sichuan Provincial Orthopedic Hospital, Chengdu, Sichuan, China
Publisher
Informa UK Limited
Subject
Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/00032719.2019.1683742
Reference28 articles.
1. Introduction to multivariate calibration in analytical chemistry
2. Nondestructive Discrimination of Pharmaceutical Preparations Using Near-Infrared Spectroscopy and Partial Least-Squares Discriminant Analysis
3. Classification and quantitation of milk powder by near-infrared spectroscopy and mutual information-based variable selection and partial least squares
4. Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
5. Confirmation of brand identity in foods by near infrared transflectance spectroscopy using classification and class-modelling chemometric techniques — The example of a Belgian beer
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