Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection
Authors
Keywords
-
Journal
Journal of Analytical Methods in Chemistry
Volume 2018, Issue -, Pages 1-9
Publisher
Hindawi Limited
Online
2018-01-30
DOI
10.1155/2018/5237308
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods
- (2013) Sanguk Lee et al. ANALYST
- Integration of SIMCA and near-infrared spectroscopy for rapid and precise identification of herbal medicines
- (2013) I-Chang Yang et al. JOURNAL OF FOOD AND DRUG ANALYSIS
- Rapid discrimination of geographical origin and evaluation of antioxidant activity of Salvia miltiorrhiza var. alba by Fourier transform near infrared spectroscopy
- (2013) Xiaoju Duan et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Application of High-Dimensional Feature Selection in Near-Infrared Spectroscopy of Cigarettes' Qualitative Evaluation
- (2013) Qin Yuhua et al. SPECTROSCOPY LETTERS
- A flow-batch analyzer using a low cost aquarium pump for classification of citrus juice with respect to brand
- (2013) Sueny Kêlia Barbosa Freitas et al. TALANTA
- Wavelet-based classification and influence matrix analysis method for the fast discrimination of Chinese herbal medicines according to the geographical origins with near infrared spectroscopy
- (2013) Wenlong Li et al. Journal of Innovative Optical Health Sciences
- A review of variable selection methods in Partial Least Squares Regression
- (2012) Tahir Mehmood et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Application of PCA and SIMCA Statistical Analysis of FT-IR Spectra for the Classification and Identification of Different Slag Types with Environmental Origin
- (2012) B. Stumpe et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Rapid characterization of transgenic and non-transgenic soybean oils by chemometric methods using NIR spectroscopy
- (2012) Aderval S. Luna et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- A rapid method for the differentiation of yeast cells grown under carbon and nitrogen-limited conditions by means of partial least squares discriminant analysis employing infrared micro-spectroscopic data of entire yeast cells
- (2012) Julia Kuligowski et al. TALANTA
- Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
- (2011) Roman M. Balabin et al. ANALYTICA CHIMICA ACTA
- Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods
- (2011) Huazhou Chen et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components
- (2011) Manfred Schwanninger et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Multivariate calibration techniques applied to derivative spectroscopy data for the analysis of pharmaceutical mixtures
- (2008) Michele De Luca et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started