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Application of neural networks for classification of biological compounds from the characteristics of whispering-gallery-mode optical resonance

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Journal of Applied Spectroscopy Aims and scope

We have analyzed the feasibility and expediency of using a probabilistic neural network as a classifier for processing and interpreting data obtained using a biosensor we have developed that is based on whispering-gallery-mode optical resonance. We have established that the probabilistic neural network makes it possible to correctly classify the biological compounds under study with average 97.3% probability.

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Authors and Affiliations

  1. Belorussian State University, 4 prosp. Nezavisimosti, Minsk, 220030, Belarus

    E. A. Tcherniavskaia & V. A. Saetchnikov

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  1. E. A. Tcherniavskaia
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  2. V. A. Saetchnikov
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Correspondence to V. A. Saetchnikov.

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Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 78, No. 3, pp. 485–488, May–June, 2011.

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Tcherniavskaia, E.A., Saetchnikov, V.A. Application of neural networks for classification of biological compounds from the characteristics of whispering-gallery-mode optical resonance. J Appl Spectrosc 78, 457–460 (2011). https://doi.org/10.1007/s10812-011-9486-x

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  • DOI: https://doi.org/10.1007/s10812-011-9486-x

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