A comparison of neural networks and partial least squares for deconvoluting fluorescence spectra
- 5 June 1992
- journal article
- research article
- Published by Wiley in Biotechnology & Bioengineering
- Vol. 40 (1) , 53-62
- https://doi.org/10.1002/bit.260400109
Abstract
This article compares backpropagation neural networks (BNN) with partial least squares (PLS) techniques in terms of their ability to deconvolute fluorescence spectra. Both actual experimental and simulated spectral data are studied for 2 binary systems. These systems consist of mixtures of tryptophan and tyrosine, and NADH and tryptophan over a total concentration range of 10−7 to 10−4 M. It is shown that BNN is superior to PLS for both systems.Keywords
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