Neural network approach to qualitative identification of fuels and oils from laser induced fluorescence spectra
- 1 January 1994
- journal article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 285 (1-2) , 237-246
- https://doi.org/10.1016/0003-2670(94)85026-7
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Neural Network System for the Identification of Infrared SpectraApplied Spectroscopy, 1992
- Application of neural network techniques in gamma spectroscopyNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1992
- A neural network approach to qualitative analysis in inductively coupled plasma-atomic emission spectroscopy (ICP-AES)Analytical and Bioanalytical Chemistry, 1992
- Classification of Alloys with an Artificial Neural Network and Multivariate Calibration of Glow-Discharge Emission SpectraApplied Spectroscopy, 1991
- Neural network models for infrared spectrum interpretationMicrochimica Acta, 1991
- MSnet: A Neural Network which Classifies Mass SpectraTetrahedron Computer Methodology, 1990
- Spectral peak verification and recognition using a multilayered neural networkAnalytical Chemistry, 1990
- Spectroscopic calibration and quantitation using artificial neural networksAnalytical Chemistry, 1990
- A neural network approach to infrared spectrum interpretationMicrochimica Acta, 1990
- Theory of the backpropagation neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989