S. A. Burikov

Application of artificial neural networks to solve problems of identification and determination of concentration of salts in multi-component water solutions by Raman spectra

I. G. Persiantsev, T. A. Dolenko, S. A. Dolenko, 2010, Optical Memory and Neural Networks.

Adaptive methods of solving inverse problems for improvement of fidelity of molecular DNA computations

T. A. Dolenko, S. A. Dolenko, S. A. Burikov, 2016, Optical Memory and Neural Networks.

Use of neural network algorithms for elaboration of fluorescent biosensors on the base of nanoparticles

K. A. Laptinskiy, T. A. Dolenko, I. I. Vlasov, 2013, Optical Memory and Neural Networks.

Adaptive methods for solving inverse problems in laser raman spectroscopy of multi-component solutions

I. G. Persiantsev, T. A. Dolenko, S. A. Burikov, 2012, Pattern Recognition and Image Analysis.

LASER APPLICATIONS AND OTHER TOPICS IN QUANTUM ELECTRONICS: Shore-based lidar for monitoring coastal sea water areas

Viktor V. Fadeev, P. N. Litvinov, S. A. Burikov, 2001 .

Comparison of the quality of solving the inverse problems of spectroscopy of multi-component solutions with neural network methods and with the method of projection to latent structures

I. G. Persiantsev, T. A. Dolenko, S. A. Burikov, 2015, Optical Memory and Neural Networks.