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Neural network algorithms for information processing in the problems of engineering oil production company network diagnosis

Keywords:

А.M. Vulfin, A.I. Frid


Technological time series is important for diagnosing technical object. They are major source of information. The aim is to increase the efficiency of algorithms for intelligent processing of information for diagnosing engineering network. The construction of the diagnostic model for recognizing situations appearing on the objects of the engineering network of oil production carried out according to the methodology CRISP-DM and consists of several stages. To build system processing diagnostic information expert assessment of the state utilities includes in it. Using neural networks and fuzzy knowledge base compositional output in intelligent decision support systems eliminates the problem of no monotonic inference. To estimate the efficiency of diagnostic data processing algorithms parameters of the oil metering are used.
References:
  1. Ginijatullin V.M., Zozulja JU.I., Murtazina V.A. i dr. Realizacija binarnykh reshajushhikh funkcijj v nejjrosetevom bazise // Nejjrokompjutery: razrabotka, primenenie. 2006. № 10. S.3-8.
  2. Vulfin A.M., Frid A.I. Nejjrosetevaja model analiza tekhnologicheskikh vremennykh rjadov v ramkakh metodologii Data Mining // Informacionno-izmeritelnye i upravljajushhie sistemy. 2011. № 5. S. 31–38.
  3. Geppener V.V., Tristanov A.B., Firstov P.P. Primenenie metodov segmentacii k obrabotke geofizicheskikh dannykh // Materialy XII Vseros. nauch.-tekhn. konf. «Kompleksnye sejjsmologicheskie i geofizicheskie issledovanija Kamchatki KSiGIK-2006». 2006. S. 183-187.
  4. Persiancev I.G. Adaptivnoe postroenie ierarkhicheskikh nejjrosetevykh sistem dlja klassifikacii i dlja segmentacii vremennykh rjadov // Materialy XII Vseros. nauch.-tekhn. konf. «Nejjroinformatika – 2010». M.: MIFI. 2010. S. 212–241.
  5. Komarcova L.G. Ispolzovanie nejjrosetevykh metodov dlja reshenija zadach proektirovanija vychislitelnykh sistem. M.: Iz-vo MGTU im. N.EH. Baumana. 2000.

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