An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration
| Autor: | Leslie R. E. Wood, Hong-Dong Li, Dong-Sheng Cao, Qing-Song Xu, Yong-Huan Yun, Yi-Zeng Liang, Jia-Jun Wang, Wei Fan |
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| Rok vydání: | 2013 |
| Předmět: |
Source code
Optical Phenomena Chemistry Calibration (statistics) Spectrum Analysis media_common.quotation_subject Spectral bands Atomic and Molecular Physics and Optics Spectral line Analytical Chemistry Wavelength Milk Calibration Multivariate Analysis Tobacco Code (cryptography) Animals Interval (graph theory) Least-Squares Analysis Instrumentation Algorithm Algorithms Spectroscopy Selection (genetic algorithm) media_common |
| Zdroj: | Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 111:31-36 |
| ISSN: | 1386-1425 |
| DOI: | 10.1016/j.saa.2013.03.083 |
| Popis: | Wavelength selection is a critical step for producing better prediction performance when applied to spectral data. Considering the fact that the vibrational and rotational spectra have continuous features of spectral bands, we propose a novel method of wavelength interval selection based on random frog, called interval random frog (iRF). To obtain all the possible continuous intervals, spectra are first divided into intervals by moving window of a fix width over the whole spectra. These overlapping intervals are ranked applying random frog coupled with PLS and the optimal ones are chosen. This method has been applied to two near-infrared spectral datasets displaying higher efficiency in wavelength interval selection than others. The source code of iRF can be freely downloaded for academy research at the website: http://code.google.com/p/multivariate-calibration/downloads/list. |
| Databáze: | OpenAIRE |
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