Voir la notice de l'article provenant de la source Math-Net.Ru
@article{MM_2014_26_4_a9, author = {A. N. Sochnev}, title = {Systems optimization using {Petri} nets neural network models}, journal = {Matemati\v{c}eskoe modelirovanie}, pages = {119--128}, publisher = {mathdoc}, volume = {26}, number = {4}, year = {2014}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/MM_2014_26_4_a9/} }
A. N. Sochnev. Systems optimization using Petri nets neural network models. Matematičeskoe modelirovanie, Tome 26 (2014) no. 4, pp. 119-128. http://geodesic.mathdoc.fr/item/MM_2014_26_4_a9/
[1] Yuditskii S. A., Magergut V. Z., Logicheskoe upravlenie diskretnymi protsessami. Modeli, analiz, sintez, Mashinostroenie, M., 1987, 176 pp.
[2] Kotov V. E., Seti Petri, Nauka, M., 1984, 160 pp. | MR
[3] Osovskii S., Neironnye seti dlya obrabotki informatsii, Per. s polskogo I. D. Rudinskogo, Finansy i statistika, M., 2004, 344 pp.
[4] Kruglov V. V., Borisov V. V., Iskusstvennye neironnye seti. Teoriya i praktika, Goryachaya liniya-Telekom, M., 2001, 382 pp.
[5] Kureichik V. M., Lebedev B. K., Lebedev O. K., Poiskovaya adaptatsiya: teoriya i praktika, Fizmatlit, M., 2006, 272 pp.
[6] Sochnev A. N., “Opredelenie kolichestva tekhnologicheskogo oborudovaniya na osnove modelirovaniya proizvodstva setyami Petri”, Sovremennye tekhnologii. Sistemnyi analiz. Modelirovanie, 2011, no. 2, 92–97
[7] Sochnev A. N., “Optimizatsiya funktsionirovaniya predstavlennykh setyami Petri sistem s pomoschyu iskusstvennykh neironnykh setei”, Upravlenie bolshimi sistemami, 33 (2011), 198–217