238 (4)

Bibliografia

111 J. Hertz, A. Krogh, R. Palmtr, Introduction to Ihe Thcory of Neural Computation. Addison Wcslcy. Amsterdam 1991

|2| R. l/echi-Nielsen: Ncurocomputing. Addison Wcslcy, Amsterdam 1991 |J| /’. Wassermann', Neural Computing — Theory and Practice. Van Nostrand Reinhold. New York 1989

|4| J. McClelland, D. Rumełhart: F.xplorations in Pnrallel Disirihuted Processing. MIT Press. Cambridge 1987

|5| T. Kohonetr. Sclf-Organizulion and Associulivc Memory. Springer Vcrlag, Berlin 1988 |6| ll. Kosko: Neural Networks in Signal Processing. Preniice Hall, New Jersey 1992

[7)    U. Heblr. Organization of BeUaviour. Wiley, N. Y. 1949

[8]    M. Minsky, S. Papert. Pcrccptrons: An Introduction to Computational Geometry. Cambridge, MA 19X8

1.9]    .4. Cichocki, R. Unbehuuen: Neural Networks for Computing. Optimization and Signal

Processirig. Tcubncr-Wilcy. Stuttgart 1993

1101    C. Mend: Analog VI.SI and Neural Systems. Addison Wesley. Reading MA 1989

1111    5. Osowski: Komputerowe metody analizy i optymalizacji obwodów elektrycznych. WPW,

Warszawa, 1993,

[12]    R. Tadeusiewicz: Sieci neuronowe. WNT, Warszawa 1993

[13]    R. Tadeusiewicz: Podstawy biocybernetyki. PWN, Warszawa 1991

[ 14] P. Gili, W. Murray, M. Wright. Praclical Optimization. Acudcinic Press, N. Y. 1981

1151 D. Rertsekas: Constraincd Optimization and LagningC MulUplier Methods. Academic Press. N.Y. 1982

[16]    R. P. Lippmann: An introduction to computing with ncurul nets. IEEE ASSP Magazine, 1987, pp. 4-22

[17]    H. Demitth. M. Beale: Neural NetWork Toolbox for usc with Matlab. The MuthWorks, Inc.. Natick 1992

[18]    R. Hccht-Nielscn: Counterpropagation ncłworks. Applied Optics. 1987. vol. 26, pp. 4979-4984 ri9] R. Hecht-Nietem: Applications of counterpropagation nctworks. Neural Networks. 1988, vol. I,

pp. 131-139 '

[20] S. Grosshcrg: Competitive leaming: froin interactive activation to adaptivc rcsonanec. Cognilivc Science, 1987, vol. 11. pp. 23-63

1211 G. Carpeuier, S. Grossberg: Massivcly paralld architecture for a self organizing neural pattern rccognition machinc. Computer Vision, Graphics and Image Processing, 1983, vol. 37. pp. 54-115

[22] D. Tank. J. Hopfield: Simpte neural optimization networks: A-D convcrtcr. signal decision Circuit and linear programming Circuit IEEE Trans. CAS, 1986, vol. 33. pp. 533-541