Product quality control on the basis of stochastic neuronet model of through technology

• Autorzy: Kuznetsov L. , Domashnev P.
• Języki publikacji: EN

Abstrakty

EN

It is convenient to use the mathematical apparatus of neuronic networks for simulation of composite production engineering. Neuronet model of technology is a superposition of neuron models of separate stages of process and represents correlation between technological parameters and production properties. Such a model is determined. On the basis of this model it is possible to obtain only the dot forecast of prospective properties of production, which can considerably differ from actual ones because of the error of input data. The paper deals with the ways of taking into account a stochasticity of technology and noise pollution of input data. This allows us to obtain confidence intervals for prospective values of production properties. Using stochastic neuronet model allows us to calculate control actions, which one will put to wishful values of the properties of production with an established risk level.

Słowa kluczowe

EN

stochastic processes; stochastic neuronet model; neural nets; production control; product quality control

PL

proces stochastyczny; sieć neuronowa

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2005
• Tom: Vol. 31, no 3
• Strony: 111--119
• Opis fizyczny: Bibliogr. 8 poz., wykr.

Twórcy

autor

Kuznetsov L.

• Department of Automated System Control, Lipetsk State Technical University, Moskovskaya Str. 30, RUS-398055 Lipetsk, Russia

autor

Domashnev P.

Bibliografia

• [1] Gmurman V. E., Teoriya veroyatnostei i matematicheskaya statistika, Moskva, Vysshaya Shkola, 1999, p. 479.
• [2] Gorban A. N., Dunin-Barkovskii V. L., Kkdin A. N. et al., Neiroinformatika, Novosibirsk: Nauka, Sibirskoe predpriyatie RAN, 1998, p. 296.
• [3] Kuznetsov L. A., Vvedenie v SAPR proizvodstva prokata, Moskva: Metallurgiya, 1991, p. 112.
• [4] Kuznetsov L. A., Pogodaev A. K., Alekseev V. A., Razvitie sredstv upravleniya kachestvom // Sovremennye slozhnye sistemy upravleniya (SSSU/HTCS’2003): Sbomik trudov nauchno-prakti-cheskoi konferencii, Yoronezh: YGASU, 2003, T. 1, 86-91.
• [5] Kuznetsov L. A., Pogodaev A. K„ Alekseev V. A., Domashnev P. A., Sovremennye metody obrabotki dannykh i upravleniya kachestvom produkcii // mezhregionalnyi sbomik trudov “Mode- lirovanie i razvitie processov obrabotki metallov davleniem”, Magnitogorsk: Magnitogorskii GTU im. G.I. Nosova, 2002, 288-295.
• [6] Kuznetsov L. A., Pogodaev A. K., Domashnev P. A., Alekseev V. A., Invariantnaya sistema upravleniya kachestvom produkcii II mezhregionalnyi sbomik trudov “Modelirovanie i razvitie processov obrabotki metallov davleniem”, Magnitogorsk: Magnitogorskii GTU im. G.I. Nosova, 2002, 295-299.
• [7] Kuznetsov L. A., Domashnev P. A., Neirosetevye modeli dla opisaniya slozhnykh tekhnologicheskikh processov II Problemy upravleniya, 2004, No. 1.
• [8] Kuznetsov L. A., Sovremennyi podkhod k upravleniyu metallurgicheskoi tekhnologiei II Proizvodstvo prokata, 1999, No. 9, 27-34, (Part 1), 2000, No. 3, 34-40, (Part 2).