- Published 2016 in Optical Memory and Neural Networks

Elaboration of methods of monitoring of biochemical reactions with DNA strands is necessary to solve one of the main problems in creation of biocomputers—improvement of fidelity of molecular DNA computations. In this paper, the results of solution of inverse two-parameter problems of laser Raman spectroscopy on determination of the types and concentration of DNA nitrogenous bases in multicomponent solutions are presented. Comparative analysis of the three used methods of solving these problems has demonstrated convincing advantages of artificial neural networks and of the method of projection to latent structures. Use of adaptive methods allowed achieving the accuracy of determining the concentration of each base in two-component solutions about 0.2–0.4 g/L.

@article{Dolenko2016AdaptiveMO,
title={Adaptive methods of solving inverse problems for improvement of fidelity of molecular DNA computations},
author={Tatiana A. Dolenko and Sergey Burikov and Alexander Efitorov and K. A. Laptinsky and O. E. Sarmanova and S. A. Dolenko},
journal={Optical Memory and Neural Networks},
year={2016},
volume={25},
pages={16-24}
}