344. Rossiev D.A., Golovenkin S.E., Shulman V.A., Matyushin G.V. Forecasting of myocardial infarction complications with the help of neural networks // Proceedings of the WCNN'95 (World Congress on Neural Networks'95, Washington DC, July 1995). PP. 185-188.

345. Rossiev D.A., Golovenkin S.E., Shulman V.A., Matyushin G.V. Neural networks for forecasting of myocardial infarction complications // Proceedings of the Second IEEE RNNS International Symposium on Neuroinformatics and Neurocomputers, September 20-23, 1995, Rostov-on-Don.
– PP 292-298.

346. Rossiev D.A., Golovenkin S.E., Shulman V.A., Matyushin G.V. The employment of neural networks to model implantation of pacemaker in patients with arrhythmias and heart blocks // Modelling, Measurument & Control, C, 1995. Vol. 48, № 2. PP. 39-46.

347. Rossiev D.A., Golovenkin S.E., Shulman V.A., Matyushin G.V. The employment of neural networks to model implantation of pacemaker in patients with arrhythmias and heart blocks // Proceedings of International Conference on Neural Information Processing, Oct. 17-20, 1994, Seoul, Korea.V.1.- PP.537-542.

348. Rossiev D.A., Savchenko A.A., Borisov A.G., Kochenov D.A. The employment of neural-network classifier for diagnostics of different phases of immunodeficiency // Modelling, Measurement & Control.- 1994.- V.42.- N.2. P.55-63.

349. Rozenbojm J., Palladino E., Azevedo A.C. An expert clinical diagnosis system for the support of the primary consultation // Salud. Publica Mex.- 1993.- V.35, N.3.- P.321-325.

350. Rumelhart D.E., Hinton G.E., Williams R.J. Learning internal representations by error propagation.
– Parallel Distributed Processing: Exploration in the Microstructure of Cognition, D.E.Rumelhart and J.L.McClelland (Eds.), vol. 1, Cambridge, MA: MIT Press, 1986. PP. 318–362.

351. Rummelhart D.E., Hinton G.E., Williams R.J. Learning representations by back-propagating errors // Nature, 1986. V. 323. P. 533-536.

352. Saaf L. A., Morris G. M. Filter synthesis using neural networks: [Pap.] Opt. Pattern Recogn. II: Proc. Meet., Paris, 26-27 Apr., 1989 // Proc. Soc. Photo-Opt. Instrum. Eng.- 1989.- 1134.- PP. 12-16.

353. Sandberg I.W. Approximation for Nonlinear Functionals.
– IEEE Transactions on Circuits and Systems - 1: Fundamental Theory and Applications, Jan. 1992. Vol.39, No 1. PP.65 67.

354. Savchenko A.A., Zakharova L.B., Rossiev D.A. The employment of neural networks for investigation & diagnostics of Viliuisk encephalomyelitis // Modelling, Measurement & Control, C.- 1995.- V.48, N.4.- P.1-15.

355. Senashova M.Yu., Gorban A.N. and. Wunsch D.C. II. Back-propagation of accuracy // ICNN97 (The 1997 IEEE International Conference on Neural Networks), Houston, IEEE, 1997. PP. 1998-2001.

356. Senna A.L., Junior W.M., Carvallo M.L.B., Siqueira A.M. Neural Networks in Biological Taxonomy // Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya, Japan, October 25-29, 1993.- Nagoya, 1993.- V.1.- P.33-36.

357. Stefanuk V.L. Expert systems and its applications // The lectures of Union's workshop on the main problems of artificial intillegence and intellectual systems. Part 2, Minsk, 1990.- P.36-55.

358. Sussman H.J. Uniqueness of the weigts for minimal feedforward nets wits a given input - output map. Neural Networks, 1992, No. 5. PP. 589–593.

359. Sweeney J.W.P., Musavi M.T., Guidi J.N. Probabilistic Neural Network as Chromosome Classifier // Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya, Japan, October 25-29, 1993.- Nagoya, 1993.-V.1.- P.935-938.

360. Tabatabai A., Troudet T. P. A neural net based architecture for the segmentation of mixed gray-level and binary pictures // IEEE Trans. Circuits and Syst.- 1991. 31 38, № 1.- PP. 66-77.

361. Tao K.M., Morf M. A lattice filter type of neuron model for faster nonlinear processing // 23th Asilomar Conf. Signals, Syst. and Comput., Pasific Grove, Calif. Oct. 30-Nov. 1, 1989: Conf. Rec. Vol. 1.- San Jose (Calif.), 1989.- PP. 123-127.

362. The Adaptive Brain/ S. Grossberg (Ed.). North-Holland, 1987. V.1. Cognition, Learning, Reforcement, and Rhythm. 498 p. V.2. Vision, Speech, Language, and Motor Control. 514 p.

363. The Computer and the Brain. Perspectives of Human and Artificial Intelligence/Ed. by J.R. Brinc, C.R. Haden, C. Burava. North-Holland, 1989. 300 p.

364. Vakhrushev S.G., Rossiev D.A., Burenkov G.I., Toropova L.A. Neural network forecasting of optimal parameters of laserotherapy in patients after tonsillectomy // Proceedings of World Congress on Neural Networks - 1995 (WCNN'95).- P. 176-178.

365. Van Leeuwen J.L. Neural network simulations of the nervous system // Eur. J. Morphol.- 1990.- V.28, N.2-4.- P.139-147.