Comparison of chemometric approaches for near-infrared spectroscopic data-Reference-Cited by-同舟云学术

Comparison of chemometric approaches for near-infrared spectroscopic data

Published:2016 Issue:8 Volume:8 Page:1914-1923
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Yang Liming¹²³⁴,Sun Qun⁵²³⁴

Affiliation:

1. College of Science

2. China Agricultural University

3. Beijing

4. China

5. College of Agriculture and Biotechnology

Abstract

Near-infrared (NIR) spectroscopy technology has demonstrated great potential in the analysis of complex samples owing to its simplicity, rapidity and being nondestructive.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/AY/C5AY01304F

Reference28 articles.

1. Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products

2. Fourier Transform Near-Infrared Spectroscopy for rapid and simple determination of phytic acid content in green gram seeds (Vigna radiata)

3. Extreme learning machine: Theory and applications

4. Optimization method based extreme learning machine for classification

5. Trends in extreme learning machines: A review

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