Выбрать главу

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.

312. Hopfield J.J. Neural Networks and physical systems with emergent collective computational abilities//Proc. Nat. Sci. USA. 1982. V.79. P. 2554-2558.

313. Hornik K., Stinchcombe M., White H. Multilayer Feedforward Networks are Universal Approximators. - Neural Networks. 1989. Vol. 2,. PP. 359–366.

314. Jeffries C. Code recognition with neural network dynamical systems // SIAM Rev.- 1990.- 32, № 4.- PP. 636-651.

315. Kalman R.E. A theory for the identification of linear relations // Frontiers Pure and Appl. Math.: Collect. Pap. Dedicat. Jacques-Louis Lions Occas. His 60th Birthday: Sci. Meet., Paris, 6-10 June, 1988.- Amsterdam etc., 1991.- PP.

316. 117-132. Keller J.M., Yager R.R., Tahani H. Neural network implementation of fuzzy logic // Fuzzy Sets and Syst.1992.- 45, № 1. PP. 1-12.

317. Kirdin A.N., Rossiev D.A., Dorrer M.G. Neural Networks Simulator for Medical, Physiological and Psychological Applications. Труды третьей международной конференции "Математика, компьютер, образование". - Москва, 1996. с.360-367.

318. Kirdin A.N., Rossiev D.A.. Neural-networks simulator for medical and physiological applications.3-d International conference "Mathematics, computer, education", Dubna, Jan. 1996. Abstracts, p. 162.

319. Kochenov D.A., Rossiev D.A. Approximations of functions of C[A,B] class by neural-net predictors (architectures and results)// AMSE Transaction, Scientific Siberian, A, 1993, Vol. 6. Neurocomputing. PP. 189-203.

320. Koopmans T. Serial correlation and quadratic forms in normal variates // Ann. Math. Statist, 1942. V. 13. PP. 14-33.

321. Korver M., Lucas P.J. Converting a rule-based expert system into a belief network // Med. Inf. Lond.- 1993.- V.18, N.3.- P.219-241.

322. Kosko B. Bidirectional Associative Memories. - IEEE Transactions on Systems, Man, and Cybernetics, Jan. 1988. Vol. SMC-18. PP.49-60.

323. Le Cun Y., Denker J.S., Solla S.A. Optimal Brain Damage // Advances in Neural Information Processing Systems II (Denver 1989). San Mateo, Morgan Kaufman, pp. 598-605 (1990)

324. Lee H.-L., Suzuki S., Adachi Y. et al. Fuzzy Theory in Traditional Chinese Pulse Diagnosis // Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya, Japan, October 25-29, 1993.- Nagoya, 1993.- V.1.- P.774-777.

325. Levine D.S., Parks R.W., Prueitt P.S. Methodological and theoretical issues in neural network models of frontal cognitive functions // Int. J. Neurosci.- 1993.- V.72, N.3-4.- P.209-233.

326. Lichtman A.J., Keilis-Borok V.I., Pattern Recognition as Applied to Presidential Elections in U.S.A., 1860-1980; Role of Integral Social, Economic and Political Traits, Contribution No. 3760. 1981, Division of Geological and Planetary Sciences, California Institute of Technology.

327. Maclin P.S., Dempsey J. Using an artificial neural network to diagnose hepatic masses // J. Med. Syst.- 1992.- V.16, N.5.- P.215-225.

328. Macukow B. Robot control with neural networks // Artif. Intell. and Inf.-Contr. Syst. Rob.-89: Proc. 5th Int. Conf., Strbske Pleso, 6-10 Nov., 1989.- Amsterdam etc., 1989.- PP. 373-376.

329. Mirkes E.M., Svitin A.P. The usage of adaptive neural networks for catalytic activity predictions // CHISA - 10th Int. Congr. of chem. eng., chem. equipment design and automation. Praha, 1990. Prepr. B3.80 [1418]. 7 pp.

330. Modai I., Stoler M., Inbar-Saban N. et al. Clinical decisions for psychiatric inpatients and their evaluation by a trained neural network // Methods Inf. Med.- 1993.- V.32, N.5.- P.396-399.

331. Modha D.S., Heht-Nielsen R. Multilayer Functionals. Mathematical Approaches to Neural Networks. J.G.Taylor (Ed.). Elsevier, 1993. PP. 235–260.

332. Nakajima H., Anbe J., Egoh Y. et al. Evaluation of neural network rate regulation system in dual activity sensor rate adaptive pacer // European Journal of Cardiac Pacing and Electrophysiology.- Abstracts of 9th International Congress, Nice Acropolis - French, Rivera, June 15-18, (228), 1994.- Rivera, 1994.- P.54.

333. Narendra K.S., Amnasway A.M. A stable Adaptive Systems. Prentice-Hall, 1988. 350 p.

334. Neural Computers/Ed. by R. Eckmiller, Ch. Malsburg. Springer, 1989. 556 p.

335. Okamoto Y., Nakano H., Yoshikawa M. et al. Study on decision support system for the interpretation of laboratory data by an artificial neural network // Rinsho. Byori.- 1994.- V.42, N.2.- P.195-199.