Voir la notice de l'article provenant de la source Math-Net.Ru
@article{SJVM_2007_10_1_a4, author = {M. Yu. Senashova}, title = {Error estimation of computing a~multivariable function and its gradient}, journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki}, pages = {77--88}, publisher = {mathdoc}, volume = {10}, number = {1}, year = {2007}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/SJVM_2007_10_1_a4/} }
TY - JOUR AU - M. Yu. Senashova TI - Error estimation of computing a~multivariable function and its gradient JO - Sibirskij žurnal vyčislitelʹnoj matematiki PY - 2007 SP - 77 EP - 88 VL - 10 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/SJVM_2007_10_1_a4/ LA - ru ID - SJVM_2007_10_1_a4 ER -
M. Yu. Senashova. Error estimation of computing a~multivariable function and its gradient. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 10 (2007) no. 1, pp. 77-88. http://geodesic.mathdoc.fr/item/SJVM_2007_10_1_a4/
[1] Lebedev A. N., Smolov V. B. i dr., Proektirovanie i raschet vychislitelnykh mashin nepreryvnogo deistviya, ed. A. N. Lebedev, Mashinostroenie, M., 1966 | Zbl
[2] Lebedev A. N., Osnovy teorii tochnosti schetno-reshayuschikh ustroistv, Ch. 1, Izd. LETI im. V. I. Lenina, L., 1964
[3] Malikov I. M., Polovko A. M., Romanov N. A., Chukreev P. L., Osnovy teorii i rascheta nadezhnosti, Sudpromgiz, L., 1960
[4] Gorban A. N., Senashova M. Yu., “Bystroe differentsirovanie, dvoistvennost i obratnoe rasprostranenie oshibok”, Vychislitelnye tekhnologii / Izdatelstvo SO RAN. — Novosibirsk, 4 (1999), 55–68 | MR | Zbl
[5] Senashova M. Yu., “Bystroe differentsirovanie slozhnykh funktsii mnogikh peremennykh”, Radioelektronika. Informatika. Upravlinnya / Zaporozhskii gos. tekhn. universitet. — Zaporozhe, 2000, no. 1, 101–106
[6] Rummelhart D. E., Hinton G. E., Williams R. J., “Learning representations by back-propagating errors”, Nature, 323 (1986), 533–536 | DOI
[7] Gorban A. N., Obuchenie neironnykh setei, SP ParaGraf, M., 1990
[8] Gorban A. N., Dunin-Barkovskii V. L., Kirdin A. N. i dr., Neiroinformatika, Nauka, Novosibirsk, 1998
[9] Rummelhart D. E., Hinton G. E., Williams R. J., “Learning internal representation by error propagation”, Parallel Distributed Processing: Exploration in the Microstructure of Cognition, Vol. 1, MIT Press, MA, Greate Britain, 1986, 318–362
[10] Bartsev S. I., Gilev S. E., Okhonin V. A., “Printsip dvoistvennosti v organizatsii adaptivnykh sistem obrabotki informatsii”, Dinamika khimicheskikh i biologicheskikh sistem, Nauka, Novosibirsk, 1989, 6–55
[11] Senashova M. Yu., “Slozhnye funktsii mnogikh peremennykh. Otsenki pogreshnostei vychisleniya”, Neirokompyutery: razrabotka i primenenie. — M.: Izdatelskoe predpriyatie redaktsii zhurnala “Radiotekhnika”, 2002, no. 4, 52–56
[12] Senashova M. Yu., “Otsenki pogreshnostei vychisleniya slozhnoi funktsii mnogikh peremennykh”, Radioelektronika. Informatika. Upravlinnya / Zaporozhskii gos. tekhn. universitet. — Zaporozhe, 2001, no. 2, 114–117
[13] Senashova M. Yu., “Pogreshnosti neironnykh setei. Vychislenie pogreshnostei vesov sinapsov”, Metody neiroinformatiki, Otv. za vyp. M. G. Dorrer (Sb. nauchn. trudov), eds. A. N. Gorban, KGTU, Krasnoyarsk, 1998, 48–64