                              -   -
                           

      1. A- .., ᠫ . ᪨ ஭-⥢
//  㪨, 1987. N 5. . 42-50.
      2. 楢 ..   ᢮⢠ ⨢ ⥩  (ண-
ࠬ ॠ).- ᭮:   䨧   ,  -
1987.
      3. 楢 ..,  宭 ..  ⨢  ࠡ⪨ -
ଠ樨. - ᭮:  䨧   , 1986.
      4. 楢 .. મ⭠ ᥣ ࠦ  -
 ய .//⮬⨪ - 1965 - N 5 - . 40-50.
      5.  . ⮭.   ஭ .//  -
 㪨 - 1992 - N 11 - N 12 - c. 103-107.
      6. 祭 ..  ᥯஭ - ⥬ ᯮ -
.// .: 㪮 㬪, 1972.
      7. ⠢楢 ..  ஭  ।᪠뢠  -
?//  + ணࠬ - 1993 - N 6(7) - . 10-13.
      8.  ..,   .. ࠡ⪠ ⥪ -
    ᯮ    ꥪ⮢    ࠦ-
.//⮬⨪ - 1990 - N 5 - . 56-61.
      9.  .,  . ᪨ ᫥ , ⭮-
  ࢭ ⥫쭮.// ⮬. .: , 1956.
     10. ᠫ ..   ஭   ப.//  ୠ
  - 1992 - N 1 - . 20-23.
     11. ᪨ .,   .  ᥯஭.  .: , 1971. .
261.
     12.  . ᪨ ⮤ 祭 ஭ -
⥩.// 㡥 ࠤ஭. - 1965 - N 5 - . 40-50.
     13.  .  ਭ樯 த.// .:  ,  1965.
     14.  ..,  .. ந⥫:  -
  ப.- .: 㪠, 1989. . 283.
     15. 㢮஢  ..,  娭 ..  ணࠬ ஢
ய  .//।  ࠡ⪠  ଠ樨.-
-, 1989, - . 28.
     16. ਪ ..  ஭ :    ?// -
 + ணࠬ - 1993 - N 4(5) - . 14-20.
     17.  .., 䨫 .. ⨢ ᫥  -
  ஭  奬.//   㪨.  1988.  N 2.  .
44-53.
     18. ਪ  .  ஭ ᫥   㦥
䨭⠬.// Computerworld - Moscow - 1985 - N 7 - . 57-58.

                          -   -

     19. ⪮ ., ਬ . ⮤ ⭮ ண஢-
.// ᪨   - 1995 -  N 16 - . 4.
     20. Aarts E.H.L.,  Korst J.H.M. Boltzmann machines and their
applications//Lect. Notes Comput. Sci. 1987. V. 258. P. 34-50.
     21. Aarts E.H.L.,  Korst J.H.M.  Boltzmann machines for tra-
velling salesman problem//European J.  Oper. Res. 1989. V. 39. P.
79-95.
     22. Abu-Mostafa Y.S., Jaques J.N.St. Information capacity of
the Hopfield model//IEEE Trans.  Inform.  Theory. 1985. V. 31. P.
461.
     23. Ackley D.H.,  Hinton G.E., Sejnowski T.J. A learning al-
gorithm for Bolzmann machines//Cognit.  Sci.  1985. V. 9. N 1. P.
147-169.
     24. Amari S.  Field theory of  self-organizing  neural  net-
works//IEEE Trans. Syst., Man, Cybern. 1983. V. 13. P. 741.
     25. Artificial Intelligence. // Amsterdam: Time - Life - Bo-
oks, 1986.
     26. Athale R., Stirk C.W. Compact architectures for adaptive
neuraal nets//Ibid. 1989. V. 28. N 4.
     27. Bardcev S.I., Okhonin V.A. The algorithm of dual functi-
oning (back-propagation):  general approach, vesions and applica-
tions. Krasnojarsk: Inst. of biophysics SB AS USSA - 1989.
     28. Carpenter G.A., Grossberg S. A massively parallel archi-
tecture for a self-organizing neural pattern  recognition  machi-
ne.//Comput.  Vision  Graphics Image Process.  1986.  V.  37.  p.
54-115.
     29. Cohen  M.A.,  Grossberg S.  Absolute stability of global
pattern formation and parallel memory storage by competitive neu-
ral networks//IEEE Trans.  Syst.,  Man, Cybern. 1983. V. 13. N 5.
P. 815-826.
     30. Computing with neural circuits: a model.//Science, 1986.
V. 233. p. 625-633.
     31. Cross Michael. Brain ware hits Japanese computers.// New
Sci. - 1988 - 120, # 1640 - p. 33.
     32. Dayhoff  J.  Neural network architectures.//New-York:Van
Nostrand reinhold, 1991.
     33. Fogelman  Soulie F.  Neural networks,  state of the art,
neural computing.// London: IBC Technical Services, 1991.

                              -   -

     34. Fox G.C.,  Koller J.G.  Code generation by a generalized
neural networks:  general principles and elementary examples.//J.
Parallel Distributed Comput. 1989. V. 6. N 2. P. 388-410.
     35. Hecht-Nielsen R.  Neurocomputing: picking the human bra-
in.// IEEE SPECTRUM 1988 - V. 25. N 3 - p. 36-41.
     36. Hebb D.O.  The organization of behaviour.  N.Y.:  Wiley,
1949.
     37. Hopfield J.J.  Neural networks and physical systems with
emergent collective computational abilities.//Proc.  Natl.  Acad.
Sci. 1984. V. 9. p. 147-169.
     38. Hopfield J.J.,  Tank D.W. Neural computation of decision
in  optimization problems.//Biol.  Cybernet.  1985.  V.  52.  p.
     39. Hopfield J.J.,  Feinstein D.I.,  Palmer F.G.  Unlearning
has a stabilizing effect in collective memories//Nature. 1983. V.
304. P. 141-152.
     40. Hopfield J.J.,  Tank D.W. Neural computation of decision
in   optimization  problems//Biol.  Cybernet.  1985.  V.  52.  P.
141-152.
     41. Jeffery W., Rosner R. Neural network processing as a to-
ol for friction optimization.//Neuronet Comput. Conf., Snowbird,
Utah, Apr. 13-16, 1986. New York, N.Y., 1986 - p. 241-246.
     42. Kuzewski Robert M.,  Myers Michael H.,  Grawford William
J. Exploration of fourword error propagation as self organization
structure.//IEEE Ist.  Int. Conf. Neural Networks, San Diego, Ca-
lif.,  June 21-24,  1987.  V.  2. - San Diego, Calif., 1987. - p.
89-95.
     43. Lippmonn Richard P. Gold Ben Neuronet classifiers useful
for speech recognition.// IEEE Ist.  Conf.  Neural Networks,  San
Diego, (Calif), 1987 - p. 417-425.
     44. Montgomery,  Douglas C. Forecasting and time series ana-
lysis./Douglas C.  Montgomery,  Lynwood A.  Johnson, John S. Gard
iner. - 2nd ed. - ISBN 0-07-042858-1.
     45. Neural  Computing.//  London:  IBE  Technical  Services,
1991.
     46. Rosenblatt F.  The peseptron:  a probabilistic model for
information storage and organization in the brain//Psychol.  Rev.
1958. V. 65. P. 386.

                              -   -

     47. Rosenblatt F.  Principles  of  neurodynamics.  Spartan.,
Washington, D.C., 1962.
     48. Rumelhart B.E., Minton G.E., Williams R.J. Learning rep-
resentations by back propagating error.// Wature,  1986.  V. 323.
p. 1016-1028.
     49. Takefuji  D.Y.  A new model of neural networks for error
correction.//Proc.  9th Annu Conf. IEEE Eng. Med. and Biol. Soc.,
Boston,  Mass., Nov. 13-16, 1987. V. 3, New York, N.Y., 1987 - p.
1709-1710.
     50. Treliven P.  Neurocomputers.// London: University colle-
ge, 1989.
