Quantitative analysis of the infrared spectrum using wavelet transforms and artificial neural networks

Qinghua Daxue Xuebao/Journal of Tsinghua University

Volumn 41, Issue 3, 2001, Pages 121-124

  Gao, J B ^a   Hu, D C ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Artificial neural network (ANN); FTIR (Fourier transform infrared) spectrum; Wavelet transform (WT)

Indexed keywords

CALCULATIONS; FEATURE EXTRACTION; LIGHT INTERFERENCE; NEURAL NETWORKS; WAVELET TRANSFORMS;

BACKGROUND DISTURBANCE; COMPONENT CONCENTRATION; MULTIPLE COMPONENT GAS SYSTEMS; PEAK STRENGTH; QUANTITATIVE ANALYSIS;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

EID: 0035284617     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Progress in supervised neural networks - What's new since Lippmann?
2. Artificial neural network and its application in multi-component infrared spectroscopic analysis
3. 2 content in igneous rocks using thermal infrared spectra with a neural network approach
4. Quantitative infrared spectroscopic measurement of hydroxyl concentrations in silica glass
5. Artificial neural networks applied to the non-linear quantitative analysis of spectrophotometry
6. Spectral measurements of exhaust gases using a Fourier Transform spectrometer