Spectral quantitative analysis of complex samples based on the extreme learning machine-Reference-Cited by-同舟云学术

Spectral quantitative analysis of complex samples based on the extreme learning machine

Published:2016 Issue:23 Volume:8 Page:4674-4679
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Bian Xi-Hui¹²³⁴⁵,Li Shu-Juan¹²³⁴⁵,Fan Meng-Ran⁶⁷⁸⁹,Guo Yu-Gao⁵²³⁴,Chang Na⁵²³⁴,Wang Jiang-Jiang⁵²³⁴

Affiliation:

1. State Key Laboratory of Separation Membranes and Membrane Processes

2. Tianjin Polytechnic University

3. Tianjin

4. P. R. China

5. School of Environmental and Chemical Engineering

6. Department of Computer Science

7. The University of Nottingham

8. Nottingham

9. UK

Abstract

A novel algorithm called the extreme learning machine is introduced for the spectral quantitative analysis of complex samples, which enhances predictive performance.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/AY/C6AY00731G

Reference40 articles.

1. Study of sample preparation for quantitative analysis of amino acids in human sweat by liquid chromatography–tandem mass spectrometry

2. Universal quantitative NMR analysis of complex natural samples

3. 2D-DIGE proteome analysis on the platelet proteins of patients with major depression

4. Algorithmic modeling of spectroscopic data to quantify binary mixtures of vinegars of different botanical origins

5. Ratiometric Fluorescent Detection of Phosphate in Aqueous Solution Based on Near Infrared Fluorescent Silver Nanoclusters/Metal–Organic Shell Composite

Cited by 39 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insights into ensemble learning classification tools allied with near infrared spectroscopy for diesel quality management;Infrared Physics & Technology;2024-08

2. Extreme Learning Machine Combined With Whale Optimization Algorithm for Spectral Quantitative Analysis of Complex Samples;Journal of Chemometrics;2024-07-23

3. Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples;Journal of Chemometrics;2024-07

4. Identification of Bloodstains by Species Using Extreme Learning Machine and Hyperspectral Imaging Technology;Applied Spectroscopy;2024-06-17

5. Study on an Automatic Classification Method for Determining the Malignancy Grade of Glioma Pathological Sections Based on Hyperspectral Multi-Scale Spatial–Spectral Fusion Features;Sensors;2024-06-12