Е. Миркес - Учебное пособие по курсу «Нейроинформатика»

274. Fulcher J. Neural networks: promise for the future? // Future Generat. Comput. Syst.- 1990-1991.- 6, № 4.- PP. 351-354.

275. Gallant A.R., White H. There exist a neural network that does not make avoidable mistakes. - IEEE Second International Coferense on Neural Networks, San Diego, CA, New York: IEEE Press, vol. 1, 1988. PP. 657–664.

276. Gecseg F. Products of Automata. Springer, 1986. 107 p.

277. Gemignani M. C. Liability for malfunction of an expert system // IEEE Conf. Manag. Expert Syst. Program and Proj., Bethesda, Md. Sept. 10-12, 1990: Proc.- Los Alamitos (Calif.) etc., 1990.- PP. 8-15.

278. Genis C. T. Relaxation and neural learning: points of convergence and divergence // J. Parallel and Distrib. Comput.- 1989.- 6, № 2.- PP. 217-244.

279. George N., Wang hen-ge, Venable D.L. Pattern recognition using the ring-wedge detector and neural-network software: [Pap.] Opt. Pattern Recogn. II: Proc. Meet., Paris, 26-27 Apr., 1989 // Proc. Soc. Photo-Opt. Instrum. Eng.- 1989.- PP. 96-106.

280. Gilev S.E. A non-back-propagation method for obtaining the gradients of estimate function // Advances in Modelling & Analysis, A, AMSE Press, 1995. Vol. 29, № 1. PP. 51-57.

281. Gilev S.E., Gorban A.N. On Completeness of the Class of Functions Computable by Neural Networks, Proc. of the World Congress on Neural Networks, Sept. 15-18, 1996, San Diego, CA, Lawrence Erlbaum Associates, 1996, pp. 984-991.

282. Gilev S.E., Gorban A.N., Kochenov D.A., Mirkes Ye.M., Golovenkin S.E., Dogadin S.A., Nozdrachev K.G., Maslennikova E.V., Matyushin G.V., Rossiev D.A., Shulman V.A., Savchenko A.A. "MultiNeuron" neural simulator and its medical applications // Proceedings of International Conference on Neural Information Processing, Oct. 17-20, 1994, Seoul, Korea.- V.2.- P.1261-1264.

283. Gilev S.E., Gorban A.N., Mirkes E.M. Internal Conflicts in Neural Networks // Transactions of IEEE-RNNS Simposium (Rostov-on-Don, September 1992). V.1. PP. 219-226.

284. Gilev S.E., Gorban A.N., Mirkes E.M. Several Methods for Accelerating the Traning Process of Neural Networks in Pattern Recognition. - Advances in Modelling & Analysis, A, AMSE Press, V. 12, No. 4, 1992, pp. 29-53.

285. Gilev S.E., Gorban A.N., Mirkes E.M. Small Experts and Internal Conflicts in Leanable Neural Networks // Advances in Modelling & Analysis.- AMSE Press.- 1992.- V.24, No. 1.P.45-50.

286. Gileva L.V., Gilev S.E. Neural Networks for binary classification// AMSE Transaction, Scientific Siberian, A, 1993, Vol. 6. Neurocomputing, pp. 135-167.

287. Gindi G.R., Darken C.J., O’Brien K.M. et al. Neural network and conventional classifiers for fluorescence-guided laser angioplasty // IEEE Trans. Biomed. Eng.- 1991.- V.38, N.3.- P.246-252.

288. Gluck M.A., Parker D.B., Reifsnider E.S. Some Biological Implications of a Differential-Hebbian Learning Rule. - Psychobiology, 1988. Vol. 16. No. 3. PP. 298-302.

289. Golub D.N. and Gorban A.N. Multi-Particle Networks for Associative Memory, Proc. of the World Congress on Neural Networks, Sept. 15-18, 1996, San Diego, CA, Lawrence Erlbaum Associates, 1996, pp. 772-775.

290. Gorban A.N., Novokhodko A.Yu.. Neural Networks In Transposed Regression Problem, Proc. of the World Congress on Neural Networks, Sept.15-18, 1996, San Diego, CA, Lawrence Erlbaum Associates, 1996, pp. 515-522.

291. Gorban A.N. Neurocomputing in Siberia // Advances in Modelling & Analysis.- AMSE Press.- 1992.- V.34(2).P.21-28.

292. Gorban A.N. Systems with inheritance and effects of selection.- Scientific Siberian A, Volume 1. Ecology, AMSE Press, ISBN: 2-909214-04-4, 1992, pp. 82-126

293. Gorban A.N., Mirkes Ye.M. and Wunsch D.C. II High order ortogonal tensor networks: Information capacity and reliability // ICNN97 (The 1997 IEEE International Conference on Neural Networks), Houston, IEEE, 1997. PP. 1311-1314.

294. Gorban A.N., Mirkes Ye.M. Functional Components of Neurocomputer. Труды третьей международной конференции "Математика, компьютер, образование". - Москва, 1996. с.352-359.

295. Gorban A.N., Mirkes Ye.M. Functional components of neurocomputer. 3-d International conference "Mathematics, computer, education", Dubna, Jan. 1996. Abstracts, p. 160.

296. Gorban A.N., Rossiev D.A., Butakova E.V., Gilev S.E., Golovenkin S.E., Dogadin S.A., Dorrer M.G., Kochenov D.A., Kopytov A.G., Maslennikova E.V., Matyushin G.V., Mirkes Ye.M., Nazarov B.V., Nozdrachev K.G., Savchenko A.A., Smirnova S.V., Shulman V.A., Zenkin V.I. Medical, psychological and physiological applications of MultiNeuron neural simulator. Neuroinformatics and Neurocomputers, Proceedings of the second RNNS-IEEE Simposium, Rostov-na-Donu, September 1995.- PP. 7-14.

297. Gorban A.N., Rossiev D.A., Gilev S.E. et al. “NeuroComp” group: neural-networks software and its application // Russian Academy of Sciences, Krasnoyarsk Computing Center, Preprint N 8.- Krasnoyarsk, 1995.- 38 p.

298. Gorban A.N., Rossiev D.A., Gilev S.E. et al. Medical and physiological applications of MultiNeuron neural simulator // Proceedings of World Congress on Neural Networks-1995 (WCNN’95).- Washington, 1995.- V.1, P.170-175.

299. Gorban A.N., Rossiev D.A., Gilev S.E., Dorrer M.A., Kochenov D.A., Mirkes Ye.M., Golovenkin S.E., Dogadin S.A., Nozdrachev K.G., Matyushin G.V., Shulman V.A., Savchenko A.A. Medical and physiological applications of MultiNeuron neural simulator // Proceedings of World Congress on Neural Networks - 1995 (WCNN'95).- PP. 170-175.

300. Gorban A.N., Waxman C. How many neurons are sufficient to elect the U.S.A. President?// AMSE Transaction, Scientific Siberian, A, 1993, Vol. 6. Neurocomputing, pp. 168-188.

301. Gorban A.N., Waxman C. How many Neurons are Sufficient to Elect the U.S.A. President? TWO! (Siberian neurocomputer forecasts results of U.S.A. Presidential elections) Krasnoyarsk, Institute of Biophysics, Russian Academy of Sciences Siberian Branch, 1992 - 29 pp. (preprint Russian Academy of Sciences Siberian Branch, Institute of Biophysics N 191 Б).

302. Gorban A.N., Waxman C. Neural networks for political forecast. Proceedings of the WCNN'95 (World Congress on Neural Networks'95, Washington DC, July 1995). PP. 179-184.

303. Gordienko P. Construction of efficient neural networks // Proceedings of the International Conference on Neural Information Processing (Oct. 17-20, 1994, Seoul, Korea) V.1. PP. 366-371.

304. Gordienko P. How to obtain a maximum of skills with minimum numbers of connections// AMSE Transaction, Scientific Siberian, A, 1993, Vol. 6. Neurocomputing, pp.204-208.

305. Gross G.W., Boone J.M., Greco-Hunt V. et al. Neural networks in radiologic diagnosis. II. Interpretation of neonatal chest radiographs // Invest. Radiol.- 1990.- V.25, N.9.- P.1017-1023.

306. Grossberg S. Nonlinear Neural Networks: Principles, Mechanism and Architectures// Neural Networks, 1988. V.1. N1. P. 17-62.

307. Guo Z., Durand L.G., Lee H.C. et al. Artificial neural networks in computer-assisted classification of heart sounds in patients with porcine bioprosthetic valves // Med. Biol. Eng. Comput.- 1994.- V.32, N.3.- P.311-316.

308. Hecht-Nielsen R. Neurocomputing: Picking the Human Brain/IEEE Spectrum, 1988. March. P. 36-41.

309. Heht-Nielsen R. Theory of the backpropagation neural network. - Neural Networks for Human and Mashine Perception. H.Wechsler (Ed.). Vol. 2. Boston, MA: Academic Press, 1992. PP. 65 - 93.

310. Hod H., Lew A.S., Keltai M. et al. Early atrial fibrilla tion during evolving myocardial infarction: a consequence of impaired left atrial perfusion // Circulation, 1987. V.75, N.1. PP. 146-150.

311. Hoher M., Kestler H.A., Palm G. et al. Neural network based QRS classification of the signal averaged electrocardiogram // Eur. Heart J.- 1994.- V.15.- Abstr. Supplement XII-th World Congress Cardiology (734).- P.114.