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| 8 | Voronov I.V., Politov E.A., Efremenko V.M. Methodology of input parameters selection of neural network to forecast the industrial enterprises power consumption. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2009; 3(73):62-64. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 9 | Kashirskih V.G., Gargaev A.N. Functional diagnostics of a DC motor basing on neuronetwork predictor. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2014; 2(102):95-97. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 10 | Kashirskih V.G., Gargaev A.N. Diagnostics of a DC motors basing on artificial neural network. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2014; 2(102):104-106. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 11 | Politov E.A., Voronov I.V., Efremenko V.M. Principles of industrial enterprise power consumption forecast model building based on neural networks. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2009; 5(75):58-60. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 12 | Politov E.A., Voronov I.V., Efremenko V.M. Definition of the parameters affecting on a power consumption of the industrial enterprise by means of a method of expert estimations. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2009; 5(75):61-64. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 13 | Kornienko I.L., Doroganov V.S., Pimonov A.G. Neural network information system for determining the mixture of coal concentrate. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2014; 6(106):108-113. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 14 | Doroganov V.S., Pimonov A.G. Modified network of Word and hybrid training method for the prediction of indicators of quality of metallurgical coke. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2015; 3(109):141-148. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 15 | Kashirskikh V.G., Gargaev A.N., Zavyalov V.M., Semykina I.Yu. Computer system for electric drives fault diagnosis of mining shovels . Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2016; 6(118):159-168. (In Russ., abstract in Eng.). | MORE INFO | DOWNLOAD |
| 16 | Ababkov N.V., Teleguz A.S., Pimonov M.V. Development of algorithmic support for a decision-making preparation system when assessing the performance and extending the life of equipment of technical devices of hazardous production facilities. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2024; 3(163):88-98. (In Russ., abstract in Eng.). doi: 10.26730/1999-4125-2024-3-88-98 | MORE INFO | DOWNLOAD |
| 17 | Astrashab E.V., Grigorchik A.N., Kukareko V.A., Belotserkovsky M.А., Sosnovskiy A.V. Structure, phase composition and tribotechnical properties of annealed (Ni-Cr)-Al composition coating. Vestnik Kuzbasskogo gosudarstvennogo tekhnicheskogo universiteta=Bulletin of the Kuzbass State Technical University. 2024; 3(163):99-108. (In Russ., abstract in Eng.). doi: 10.26730/1999-4125-2024-3-99-108 | MORE INFO | DOWNLOAD |
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