Adaptive wavelet packet transform for support vector machine modeling as globally optimized by particle swarm optimization algorithm-Reference-Cited by-同舟云学术

Adaptive wavelet packet transform for support vector machine modeling as globally optimized by particle swarm optimization algorithm

Published:2015 Issue:12 Volume:7 Page:5108-5113
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Zhang Jin-Wen¹²³⁴⁵,Wu Ji-Dong¹²³⁴⁵,Tang Li-Juan¹²³⁴⁵,Jiang Jian-Hui¹²³⁴⁵,Shen Guo-Li¹²³⁴⁵,Yu Ru-Qin¹²³⁴⁵

Affiliation:

1. State Key Laboratory of Chemo/Biosensing and Chemometrics

2. Laboratory of Tobacco Chemistry

3. College of Chemistry and Chemical Engineering

4. Hunan University

5. Changsha 410082

Abstract

Multivariate calibration algorithms and statistical methods are typically required in quantitative near infrared (NIR) spectroscopic methods to relate the NIR spectral response to the chemical or physical properties of samples.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/AY/C5AY00932D

Reference27 articles.

1. Near-infrared spectroscopy applications in pharmaceutical analysis

2. Pharmaceutical applications of vibrational chemical imaging and chemometrics: A review

3. Detailed analysis of the online near-infrared spectra of pharmaceutical blend in a rotary tablet press feed frame

4. Application of functional near-infrared spectroscopy in psychiatry

5. Application of near infrared spectroscopy for the rapid determination of antioxidant activity of bamboo leaf extract

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