Feed-forward artificial neural networks: applications to spectroscopy
- 1 March 1997
- journal article
- Published by Elsevier in TrAC Trends in Analytical Chemistry
- Vol. 16 (3) , 148-155
- https://doi.org/10.1016/s0165-9936(97)00007-1
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Neural networks: A new method for solving chemical problems or just a passing phase?Published by Elsevier ,2002
- Adaptive, global, extended Kalman filters for training feedforward neural networksJournal of Chemometrics, 1994
- Using artificial neural networks for solving chemical problemsChemometrics and Intelligent Laboratory Systems, 1994
- Feed-forward neural networks in chemistry: mathematical systems for classification and pattern recognitionChemical Reviews, 1993
- Backpropagation neural networksChemometrics and Intelligent Laboratory Systems, 1993
- Tutorial review—Data processing by neural networks in quantitative chemical analysisThe Analyst, 1993
- Noise reduction of gas chromatography/mass spectrometry data using principal component analysisAnalytical Chemistry, 1991
- Fourier transforms: Use, theory and applications to spectroscopic and related dataChemometrics and Intelligent Laboratory Systems, 1986
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized InversesSIAM Journal on Scientific and Statistical Computing, 1984
- Causal flows with latent variablesEuropean Economic Review, 1974